This course provides education and training in selected military electronic systems. It is particularly suitable for those who will be involved with the specification, analysis, development, technical management or operation of military radar, electro-optics, communications, sonar or information systems, where the emphasis will be on an Electronic Warfare environment.

Overview

  • Start dateSeptember
  • DurationMSc: 11 months full-time, up to five years part-time. PgDip : Up to 11 months full-time, up to four years part-time.
  • Deliveryby examination, assignments and thesis.
  • QualificationMSc, PgDip, PgCert
  • Study typeFull-time / Part-time
  • CampusCranfield University at Shrivenham

Who is it for?

The course is intended for officers of the armed forces and for scientists and technical officers in government defence establishments and the defence industry. It is particularly suitable for those who, in their subsequent careers, will be involved with the specification, analysis, development, technical management or operation of military radar, electro-optics, communications, sonar or information systems, where the emphasis will be on an Electronic Warfare environment.

Students taking the Postgraduate Certificate (PgCert) course variant are able to choose to study, and will be awarded, either the PgCert in Communications Electronic Warfare or PgCert in Sensors Electronic Warfare.

Why this course?

A Military Electronic Systems Engineering graduate achieves a high level of understanding and detailed knowledge of military communications and sensor systems with particular regard to electronic warfare. In addition, the MSc course enables the student to carry out an in-depth investigation into an area of electronic warfare to further enhance their analytical capability. Successful graduates of this course should be fully equipped for roles in defence intelligence, systems development and acquisition, involving the specification and analysis of such systems, working individually or as part of a team.

Course details

The MSc/PGDip taught phase comprises 10 compulsory modules and a choice of either Information Networks and Advanced Radar, or, Aeronautical Engineering Parts 1 and 2.

MSc students must complete a taught phase consisting of twelve modules, followed by an individual dissertation in a relevant topic. PgDip students must complete a taught phase consisting of twelve modules. PgCert students must complete a taught phase consisting of six specified modules.

Individual project

The project aim is for the student to undertake an extensive analytical research project using appropriate research methodology, involving simulation and modelling, measurements, experimentation, data collection and analysis. This will enable students to develop and demonstrate their technical expertise, independent learning abilities and critical research skills in a specialist subject area relevant to the field of study of the course.

Assessment

by examination, assignments and thesis.

University Disclaimer

Keeping our courses up-to-date and current requires constant innovation and change. The modules we offer reflect the needs of business and industry and the research interests of our staff and, as a result, may change or be withdrawn due to research developments, legislation changes or for a variety of other reasons. Changes may also be designed to improve the student learning experience or to respond to feedback from students, external examiners, accreditation bodies and industrial advisory panels.

To give you a taster, we have listed the compulsory modules and (where applicable) some elective modules affiliated with this programme which ran in the academic year 2017–2018. There is no guarantee that these modules will run for 2018 entry. All modules are subject to change depending on your year of entry.

Compulsory modules
All the modules in the following list need to be taken as part of this course

Electromagnetic Propagation and Devices

Module Leader
  • Dr Ivor Morrow
Aim

    To provide the students with an understanding of electromagnetic propagation, antennas and devices relevant to military sensor, communications and electronic warfare systems.

Syllabus

    • Course introduction: course structure, aims and objectives
    • Information resources (computer centre; library; information retrieval)
    • Propagation: radio propagation: reflection, refraction, multipath, fading, attenuation, ionosphere, troposcatter, anomalous propagation
    • Antennae: fundamental antenna concepts and definitions, VSWR, radiation patterns, directivity, gain, polarisation, axial ratio, EIRP, effective aperture, noise temperature, etc.
    • Overview of antenna types for: communications and radar applications including wire antennae, aperture antennae, reflector antennae, low profile and microstrip antennae
    • Antenna arrays: introduction to phased array theory, types of antenna array, feed network design, beam steering and radiation pattern shaping
    • Electromagnetic devices: high power tubes (magnetron, coaxial magnetron, klystron, extended interaction klystron,TWT)        
    • Active solid state devices: rf diodes and transistors and their application in amplifiers and oscillators, ferrite non-reciprocal devices (circulators and isolators)
    • PIN diode switches, modulators and phase shifters
    • Guided waves: waveguides, coaxial lines, microstrip and other RF planar transmission line structures
    • RF/Microwave power dividers and couplers






Intended learning outcomes On successful completion of the module the student will be able to: 

Knowledge and Understanding

• Describe the principles of operation and characteristics of antenna sensors and electromagnetic system components and recognise how they may be used in a modern military communication or EW system
• Identify and explain the various models of propagation of electromagnetic waves in free space and transmission lines

Skills and Other Attributes 

• Analyse and evaluate the performance of electronic warfare system components
• Assess the propagation of electromagnetic signals in physical environments
• Design antenna elements and develop phased arrays performance models





Signal Processing, Statistics and Analysis

Aim

    To provide the students with an understanding of the subjects supporting the specialist modules and to provide them with the essential signal analysis and statistical tools used in the course.

Syllabus
    • Statistics and Noise: Probability, random variables, probability distributions, covariance, correlation. Noise sources, noise bandwidth, noise figure, noise temperature. Cascaded networks. Mathematical representation of noise
    • Analogue and Digital Signal Processing 1: Analogue methods used to describe, analyse and process signals and the behaviour of systems: Fourier and Laplace transforms, correlation and convolution, impulse response and transfer function.
    • Analogue and Digital Signal Processing 2: Matched filters, the z-transform. Advantages/ disadvantages of DSP, sampling and quantisation, digital filters, DFT and FFT, DSP applications in communications and radar.
    • Decision Theory: Hypothesis testing, probabilities of false alarm and detection, Bayesian systems, error probability and bit error rate, receiver operating characteristics. Bit-error rate lab demo.
Intended learning outcomes

On successful completion of the module the student will be able to:

  • Describe the signal processing methods commonly encountered in sensor, communications and EW systems
  • Evaluate the effect of randomly varying signals on the decision processing in sensor and communication systems
  • Identify and analyse signal and noise waveforms commonly encountered in communications, sensor and electronic warfare systems in the time and frequency domains
  • Analyse the detection performance of such systems.

MES-CP - Communications Principles

Aim

    To provide students with an understanding of the concepts and techniques employed in modern communication systems.

Syllabus
    • Introduction: transmitter and receiver communications system model
    • Voice source coding: pulse code modulation, delta modulation, vocoders, demonstrations
    • Analogue modulation: Amplitude modulation, double and single sided amplitude modulation, frequency modulation, demonstrations
    • Digital modulation: Amplitude-shift, Frequency-shift, Phase-shift, differential phase-shift, Quadrature phase-shift, Quadrature phase-shift, and Minimum-shift keying; Quadrature amplitude modulation; demonstrations
    • Communications channel: Multipath effects, fading and diversity, models of Egli and Murphy
    • Receivers: superheterodyne systems, balanced and unbalanced mixers, frequency synthesisers
    • Link budget analysis.
Intended learning outcomes

On successful completion of the module the student will be able to:

  • Identify the main functions of each of the component blocks in a communications system model, deriving suitable values for each of the system parameters
  • Describe the principles, implementation and theoretical background of the principal modulation schemes employed in communication systems
  • Evaluate the effects of a communications channel on a transmitted signal in terms of attenuation, time, frequency and phase dispersion
  • Analyse the performance of a communication system based on a link budget, using a standard propagation model
  • Propose a suitable communications architecture to meet a required specification given a particular application.

Communications Systems

Aim

    To provide the students with an understanding of how modern military and commercial communications systems utilise the principal techniques taught during the communications principles module.

Syllabus

    Multiplexing and multiple access: FDM, TDM, statistical multiplexing, multiple access methods FDMA, TDMA and CDMA
    Fibre-optic communications
    Error correction codes: Block, convolutional and trellis coding, LDPC and Turbo codes
    Wideband multicarrier techniques: Spread spectrum techniques, OFDM, MIMO systems
    Cryptography: Terminology, secret key and public-key systems, authentication, OTAR
    GSM: 1G and 2G cellular radio systems. GSM system architecture, signalling, framing and frequency bands
    GPRS and EDGE: Enhancements to GSM. 3G systems and signalling
    4G systems and signalling, 5G developments
    HF systems: Scatter-based systems
    Software Defined Radio
    Satellite communications
    GPS: System description
    Military Communications Systems



Intended learning outcomes

On successful completion of the module the student will be able to:

Assess and evaluate the modern communications systems studied in terms of their performance in a hostile environment
Model and analyse the performance of modern communication systems
Relate the performance of a modern military communication system to its design characteristics




Radar Principles

Aim

    To provide the students with an understanding of the fundamental principles, design and analysis of advanced radar systems.

Syllabus
    • Introduction: comparison with other sensors, frequency bands, relationship between size, wavelength and range ,target data, historical notes
    • Radar detection theory: radar range equation, Pd, Pfa and SNR relationships, FAR, No. hits, Integration (quadrature detection)
    • Pulsed Radar Parameters: PRF, pulse width, duty ratio, peak and average powers, min range, eclipsing, max unambiguous range, low PRF, spectrum of pulsed radar, signal bandwidth, matched reception, range resolution. Search radar application
    • Losses: effect of clear air, precipitation, multipath; Losses associated with radar system, including the antenna (beam-shape loss)
    • CW and FM ranging: The Doppler effect, Doppler sensing, clutter rejection, Doppler filtering/velocity gating. Two phase linear saw-tooth modulation, ranging, effect of Doppler, velocity and range measurement. Missile seeker
    • Radar cross-section: principal factors; surface reflection effects; forms of scattering; echo mechanisms; variation of RCS with angle; typical values; Swerling models
    • Pulse compression: frequency coding (FMOP); Phase coding (PMOP); matched filtering; range and velocity resolution; Compressed pulse width; Range-velocity coupling
    • Clutter: surface and volume backscatter coefficient; spatial and temporal variation; estimation of clutter return and signal-to-clutter ratio for volume and surface clutter; statistical description for clutter; clutter spectrum and de-correlation time
    • CFAR: Constant false alarm rate systems; Clutter statistics and CFAR performance
    • Pulse-doppler radar: principle of operation; clutter spectrum; characteristics of HPRF and MPRF systems; FMICW in range measurement; multiple PRFs in range measurement. Airborne early-warning radar: requirements; design drivers and solution; typical parameters. Battlefield surveillance radar: requirements; system design; unambiguous range and velocity measurement
    • MTI radar: System diagram; clutter rejection by single and double delay line cancellers; blind speed
    • GMTI: MTI from an airborne platform, target measurement accuracy in range and in angle; clutter Doppler spread Tracking Radar. Monopulse and conical scan angle- trackers; range and velocity gates for range and Doppler tracking; angle-tracking errors; track-while-scan systems; continuity tracking
    • Synthetic-aperture radar: Cross range resolution, unfocussed SAR, focussed SAR, array length, array processing, resolution, Doppler Beam
Intended learning outcomes

On successful completion of the module the student will be able to:

  • Identify the principles underlying radar detection in noise and clutter, relating these principles to conventional radar system design
  • Explain the specialist properties and particular operational advantages of modern multi-function radar and SAR systems
  • Critically evaluate the detection performance of a radar system, given its design parameters
  • Produce a viable radar system design, given a suitable specification of the required radar performance
  • Generate and analyse radar waveforms and target echoes with Matlab.

Electro-Optics and Infrared Systems 1

Module Leader
  • Dr David James
Aim

    To introduce the student to the field of Electro-Optics (EO) and Infrared (IR) technology and give an understanding the underlying principles. To give an appreciation of the likely future advances in the technology and the importance of EO/IR technology in the wider defence system.

Syllabus

    Simple radiometry and power calculations
    Signature generation (solid and gaseous)
    Contrast
    Atmospheric effects
    Optical systems
    Detector type (thermal, photon, one and two dimensional arrays, fibre sensors)
    Cooling requirements
    Detector performance characteristics
    Simple electronic processing
    Display options
    EO/IR seeker systems
    Countermeasures (including stealth) 
    Counter-countermeasures
    Digital image processing

     

     

Intended learning outcomes

On successful completion of the module the student will be able to:

Knowledge and Understanding

Describe EO/IR systems and the underlying principles and technology
Analyse the significance of the EO/IR system in the defence context
Assess the performance of EO/IR systems



Dissertation Project

Module Leader
  • Dr David James
Aim

    To undertake an extensive analytical research project using appropriate research methodology, involving simulation and modelling, measurements, experimentation, data collection and analysis. This will enable students to develop and demonstrate their technical expertise, independent learning abilities and critical research skills in a specialist subject area relevant to the field of study of the course.

Syllabus
      Thesis preparation, large document template
      Advanced search techniques; information literacy
      Research techniques and methodology; project management
      Matlab. Using Matlab, m-files, toolboxes, m-files
      Visits, programmed visits to industry and defence establishments
      On site tutorials covering thesis preparation
Intended learning outcomes

On successful completion of this module a student should be able to:

Knowledge and Understanding


Validate the experimental results by means of a theoretical analysis relevant to the course
Discuss and assess the results of the experimental and theoretical analysis
Make valid conclusions about the work and recommend suitable follow-up work to continue the investigation

Skills and Other Attributes

Critically evaluate the initial project proposal and revise if necessary
Prepare a detailed project plan to implement the revised proposal in the time available
Utilise search engines and tools to investigate a specialist area of study, critically analysing the results of the search to further the investigation
Employ suitable analysis and modelling tools such as Matlab or Excel
Design and implement a coherent and comprehensive sequence of Experiments to test hypotheses arising from the searches
Critically analyse and evaluate the results of the experimentation and use the results generated to amend the sequence as necessary
Provide evidence of originality in the experimentation and the analysis
Document the theoretical analysis and experiments in a comprehensive technical research report

 

 



Elective modules
A selection of modules from the following list need to be taken as part of this course

Radar Electronic Warfare

Module Leader
  • Ioannis Vagias
Aim

    To provide the students with an understanding of the principles, design and analysis of the electronic threats to radar systems and how radar systems may be protected.

Syllabus

    Radar ES: Operational use; Calculation of ES sensitivity; The radar/ES detection battle; The requirements for a quiet radar; The ES process; Observable parameters; Antenna configurations for AOA measurement; Probability of intercept; Intercept analysis; Signal Sorting
    Radar EA: Jamming techniques and strategies; SJNR calculations; range-gate and velocity-gate pull-off; angle deception against monopulse trackers; deception and decoy techniques; DRFMs
    Radar ED: Frequency and PRF agility; polarisation diversity; power management; sidelobe suppression; dual-band technique
    Low probability of intercept radar waveforms: Power management, wideband FM, PSK: pseudo-random phase coding (maximal length sequences), poly-phase coding (Frank, P1, 2, 3, 4 codes), FSK: frequency hopping (Costas sequences), hybrid approaches
    Jamming of SAR systems: Principles of SAR Jamming
    Anti-Radiation Missile Seekers: ARM operational modes and impact on seeker, monopulse seeker design, detection ranges, example designs

     

     



Intended learning outcomes

On successful completion of the module the student will be able to:

 
Knowledge and Understanding 

• Use concepts of sensitivity, resolution and discrimination to establish the capabilities and applications of receivers used in ES
• Outline the various electronic attack and associated defence measures applicable to modern radar systems

Skills and Other Attributes

Identify the role and quantify the performance of a modern radar system, given suitable data regarding its transmissions
Select and assess appropriate electronic defence measures against specified threats, given an operational specification

 

 





Electro-Optics and Infrared Systems 2

Module Leader
  • Dr David James
Aim

    Increase the depth of knowledge in the field of EO/IR technology and give an understanding of the underlying principles. Give an appreciation of the likely future advances in the technology and the importance of this technology in the wider defence system.

Syllabus

    Advanced radiometry and power calculations
    Modulation transfer function
    Minimum resolvable temperature difference
    Advanced fibre sensors
    Advanced digital image processing
    Laser systems (principles and applications)
    Laser directed energy weapons
    Laser countermeasures
    Electro-Optic protection measures

Intended learning outcomes

On successful completion of the module the student will be able to:

Knowledge and Understanding

Describe EO/IR systems and the underlying principles and technology
Analyse the significance of the EO/IR system in the defence context
Assess the performance of EO/IR systems


Advanced Sensor Data Processing

Module Leader
  • Dr Venkat Sastry
Aim

    To provide the students with an understanding of various processing algorithms and methods that are applicable to modern sensor systems.

Syllabus

    Adaptive Signal Processing: adaptive finite impulse response and spatial filters; error surface; Newton’s method; gradient search method; least mean square algorithm; practical examples
    • Sonar Signal Processing: beam forming; passive analysis; active processing
    • Multi-layer Perceptrons: architecture; back-propagation algorithm; performance of the algorithm; unsupervised learning; Hebbian learning; Kohonen maps; neural network design in Matlab™
    Fuzzy Logic: fundamentals; fuzzy associative matrix; fuzzy inference
    Adaptive Linear Elements: tapped delay lines; noise cancellation; time series prediction; Elman networks; evolutionary algorithms
    Sensor Processing: genetic algorithms; evolutionary algorithms; artificial neural nets
    Sensor Fusion: distributed sensor systems; sensor coverage; distributed vs centralised systems
    • Matlab: practical sessions demonstrating the above concepts in Matlab™



Intended learning outcomes

On successful completion of the module the student will be able to:

Knowledge and Understanding

• Describe the principles, capabilities and limitations of a number of different sensor processing methods, algorithms and schemes
• Critically assess performance of neural network models
• Assess computational models for dealing with uncertainty; discern the utility of Bayesian and Fuzzy models

Skills and Other Attributes

• Compare and contrast different estimation methods and tools when applied to a specific problem and devise a distributed or centralised processing scheme based on this comparison
• Design, develop and implement models in Matlab™

 




MES-AR - Advanced Radar

Aim

    The aim of the module is to provide students with additional specialist knowledge and an in depth understanding of advanced radar techniques and their defence applications.

Syllabus
    • Millimetre Wave Radar: The mmW band, atmospheric windows, advantages and limitations, resolution, range limitations. Air launched anti-armour missile seekers, anti-aircraft missile seekers, applications to active seekers
    • Waveform design: Correlation, autocorrelation, matched reception, ambiguity function, ambiguity function for example waveforms, integrated and peak side lobe level
    • Non Cooperative Target Recognition: Resolution requirements, SAR template matching, range profiling, dependence of range profile on aspect, Doppler signature analysis
    • Multi-Function Radar: Advanced concepts in time scheduling and aperture sharing
    • Bistatic and multistatic radar: Classification, geometric formulation, spatial and temporal resolution and error, target estimators
    • Advanced SAR: two and three dimensional SAR image processing, Fourier transform, Polar format and Backprojection techniques
    • SAR techniques: image exploitation including Coherent Change Detection and Interferometry 
    • Laboratory SAR: Ground-based SAR measurements for target signature measurement and the development of intelligence gathering techniques
    • Over the Horizon (OTH) radar: HF band radar, surface wave and sky wave propagation, applications, typical system parameters
    • Ultra-wide band (UWB) radar: systems definition and waveform design, regularisation and conditioning of signals, multiple impedance boundary back-propagation techniques, application to surface penetrating radar
    • Track-While-Scan (TWS): Basic principles, data association methods, alpha-beta tracking, multiple hypothesis tracking – application to AEW
    • Demonstration: Frequency-modulated continuous-wave radar module.
Intended learning outcomes

On successful completion of the module the student will be able to:

  • Describe, distinguish between and assess the operation of various advanced defence radar systems operating in air, water and the ground environments
  • Compare and contrast the advantages and limitations of such systems as related to defence radar design, environmental and target-based parameters
  • Relate the performance of the various advanced defence radar to their system design and operational environment
  • Analyse the performance of advanced radar systems using appropriate system models and knowledge of the environmental and target parameters
  • Understand and implement a number of radio frequency signal processing and synthetic aperture radar imaging techniques in Matlab™.

Information Networks

Aim

    To provide the students with an understanding of networks in a modern military electronic sensor or communications system, their vulnerabilities and how they can be protected.

Syllabus

    Fixed Network Infrastructure

    • Introduction to Networks – switching methods; Local Area Networks and Wide Area Networks; generic network vulnerabilities
    • Network-Enabled Capability and Network-Centric Warfare
    • Network Infrastructure
    • Introduction to Network Protocols
    • Internet Protocol (IP)
    • Transport Protocols
    • Network Addressing – IPv4, Dynamic Host Configuration Protocol (DHCP) and IPv7; Network Address Translation (NAT)
    • Routing and Routing Algorithms
    • Network Design – Virtual Private Networks
    • Network Performance – delay, throughput, reliability, errors
    • Integrated and Differentiated Services – Multimedia services
    • Voice-over-IP
    • Network Security
    • Offensive Information Operations – Computer Network Attack
    • Defensive Information Operations – Computer Network Defence
    • Differential Angle Tracking: Accuracy requirements for command guidance and beam riding radar trackers, concepts of angle tracking, angle tracking loops
    • Demonstration: FMCW radar module.

    Wireless networks (WLANs)

    • Infrastructure-based and infrastructureless WLANs
    • Ad hoc networks, sensor networks, grids, routing in ad-hoc networks, mobility
    • Larger scale radio networks, timeliness, resource reservation 
    • Wide-area networks, storage area networking (SAN) 
    • Contemporary wireless networks – 802.11 (Wifi), 802.16 (WiMax), 802.15 (Bluetooth, Zigbee), 802.20 (MBWA)
    • Wireless Security: Threats, Wired Equivalent Privacy (WEP), Wi-Fi Protected Access (WPA), secure networks.
Intended learning outcomes

On successful completion of the module the student will be able to:

  • Recognise how a network may be exploited in a military context to support Information Age operations and to identify the benefits of such support
  • Identify the various components of a network and its architecture, defining the protocols and address structure, such that network infrastructure solutions can be critically assessed
  • Describe and explain the operation of a wireless Local Area Network
  • Identify the threats to a network and evaluate the responses and defence measures to counter these threats
  • Propose a secure wireless network structure, evaluating the level of security that such a network can provide against likely threats
  • Critically analyse trends and technological developments in networking.

Foundations of Modelling and Simulation

Module Leader
  • John Hoggard
Aim

    To make students aware of the roles, concepts and applications of modelling and simulation in defence, and to understand how to construct simple models.



Syllabus
    The General Principles of Modelling and Simulation

    The verification and validation of defence models and simulations. The acquisition, operation and evolution of defence models and simulations. Hard and soft approaches to modelling. Deterministic and stochastic models. Monte Carlo simulation. The role of modelling and simulation in supporting defence decision-making.

    Continuous and Discrete Event Simulation

    The design and application of simple discrete event simulation models. An introduction to system dynamics models.

    Synthetic Environments

    An introduction to defence synthetic environments. The technologies of live, constructive and virtual simulation and their defence applications.
     
Intended learning outcomes On successful completion of this module a student should be able to:

explain and apply the general principles of modelling and simulation and to explain the importance of modelling and simulation in supporting defence decision-making,
apply the ideas of verification and validation to defence models and explain the issues involved,
design simple simulation models using different approaches,
explain the technologies of live, constructive and virtual simulation and their defence applications.
 

Autonomy of Systems

Aim

    To introduce the student to the field of Autonomous Engineering Systems and give an understanding of its underlying principles. To provide the students with an understanding of various applications of autonomous systems in terms of hardware/software implementation, algorithms and methods for current and future technology in the scope of autonomy current and future technologies in the wider defence applications.

Syllabus
    • Signals and Systems theory: Signal and System Basics, Digital Signal Processing, Image Processing, Data Acquisition
    • Feedback Control Systems: Basic Feedback Structure, Feed Back Loop Transfer Function, Open and Closed Loop, Controller Design
    • Data Fusion for Autonomous Vehicles: Estimation filters, Multisensory Sensing and Perception
    • Navigation for Autonomous Vehicles: Inertial Navigation and GPS, Visual Odometry, Night Navigation
    • Path Planning and Obstacle Avoidance:  Grid-Based Search, Geometric Algorithms, Potential Fields, Collision Avoidance Behaviour
    • Mission Planning: Map Analysis, Threat Recognition, Mission Re-Plan
    • Real Time programming: CUDA, GPU
    • Human in the Loop for Autonomous Vehicles: Human Machine Interface, Graphic Display, Command and Control
Intended learning outcomes

On successful completion of this module a student should be able to:

  1. Identify and describe the main characteristics of an autonomous system. Understand the related principle of signal, control and signal fusion required for the design of an autonomous platform.
  2. Recognize and evaluate the specificity of autonomous vehicle application in a navigation context including mission planning and obstacle avoidance constraints.
  3. Assess the capabilities and limitation of an autonomous system hardware/software structure for a specific application in the selection of the sensors and algorithms.
  4. Understand the principle of real time and parallel programming to facilitate or enable an autonomous system to achieve real time performance.
  5. Proposing the principles of intelligent and efficient human/machine interaction system for to remotely operate autonomous vehicles.
  6. Propose a coherent and suitable autonomous system structure for a specific vehicle navigation application.

Communications Electronic Warfare

Aim

    To examine and understand the methods of electronically intercepting, contesting and protecting the information environment generated by communications systems.

Syllabus
    • Introduction to Communications Electronic Warfare: Electronic attack, surveillance and defence.
    • Electronic Attack: Jamming techniques and effects, calculation of SJNR, jamming of satellite and ground-based links, GPS vulnerability.
    • Electronic Defence: ED methods (Burst transmission, antenna null-steering, error control, spread-spectrum techniques).
    • Comms EW receivers: Requirements, sensitivity and dynamic range of intercept receivers; communications ESM receiver types (swept superhet, channelized, FFT-based channelised).
    • Direction-finding: DF techniques (DF loop, Adcock antenna, rotary DF systems, interferometers, time difference of arrival method, pseudo-Doppler techniques, amplitude comparison methods); Commercial DF and military EW systems: Visiting lecturers from Rohde and Schwartz; Geolocation.
    • Military tactical data links: a case study of high-level EW protection applied to a military data network.
    • Spectral estimation: Classical and parametric methods, eigenvector-based methods.
Intended learning outcomes

On successful completion of the module the student will be able to:

  • Identify the main electronic surveillance (ES) and electronic attack threats (EA) to a communications system and propose defensive measures to reduce the impact of these threat.
  • Explain the main analysis methods employed in communications EW in the time, spectral and spatial domains.
  • Analyse and evaluate the impact of electronic attack on a communications network using a power budget and quantify the effect of electronic defence measures.

Fees and funding

European Union students applying for university places in the 2019 to 2020 academic year will still have access to student funding support. Please see the UK Government’s announcement (24 July 2018).

Cranfield University welcomes applications from students from all over the world for our postgraduate programmes. The Home/EU student fees listed continue to apply to EU students.



MSc Full-time £31,000
MSc Part-time £31,000 *
PgDip Full-time £21,100
PgDip Part-time £21,100 *
PgCert Full-time £10,550
PgCert Part-time £10,550 *
  • * Fees can be paid in full up front, or in equal annual instalments. Students who complete their course before the initial end date will be invoiced the outstanding fee balance and must pay in full prior to graduation.

Fee notes:

  • The fees outlined apply to all students whose initial date of registration falls on or between 1 August 2019 and 31 July 2020.
  • All students pay the tuition fee set by the University for the full duration of their registration period agreed at their initial registration.
  • For self-funded applicants a non-refundable £500 deposit is payable on offer acceptance and will be deducted from your overall tuition fee.
  • Additional fees for extensions to the agreed registration period may be charged.
  • Fee eligibility at the Home/EU rate is determined with reference to UK Government regulations. As a guiding principle, EU nationals (including UK) who are ordinarily resident in the EU pay Home/EU tuition fees, all other students (including those from the Channel Islands and Isle of Man) pay Overseas fees.

MSc Full-time £31,000
MSc Part-time £31,000 *
PgDip Full-time £21,100
PgDip Part-time £21,100 *
PgCert Full-time £10,550
PgCert Part-time £10,550 *
  • * Fees can be paid in full up front, or in equal annual instalments. Students who complete their course before the initial end date will be invoiced the outstanding fee balance and must pay in full prior to graduation.

Fee notes:

  • The fees outlined apply to all students whose initial date of registration falls on or between 1 August 2019 and 31 July 2020.
  • All students pay the tuition fee set by the University for the full duration of their registration period agreed at their initial registration.
  • For self-funded applicants a non-refundable £500 deposit is payable on offer acceptance and will be deducted from your overall tuition fee.
  • Additional fees for extensions to the agreed registration period may be charged.
  • Fee eligibility at the Home/EU rate is determined with reference to UK Government regulations. As a guiding principle, EU nationals (including UK) who are ordinarily resident in the EU pay Home/EU tuition fees, all other students (including those from the Channel Islands and Isle of Man) pay Overseas fees.

Funding Opportunities

To help students find and secure appropriate funding, we have created a funding finder where you can search for suitable sources of funding by filtering the results to suit your needs. Visit the funding finder.

Conacyt (Consejo Nacional de Ciencia y Tecnologia)
Cranfield offers competitive scholarships for Mexican students in conjunction with Conacyt (Consejo Nacional de Ciencia y Tecnologia) in science, technology and engineering.

Postgraduate Loan from Student Finance England
A Postgraduate Loan is now available for UK and EU applicants to help you pay for your Master’s course. You can apply for a loan at GOV.UK

Santander MSc Scholarship
The Santander Scholarship at Cranfield University is worth £5,000 towards tuition fees for full-time master's courses. Check the scholarship page to find out if you are from an eligible Santander Universities programme country.

Chevening Scholarships
Chevening Scholarships are awarded to outstanding emerging leaders to pursue a one-year master’s at Cranfield university. The scholarship includes tuition fees, travel and monthly stipend for Master’s study.

Cranfield Postgraduate Loan Scheme (CPLS)
The Cranfield Postgraduate Loan Scheme (CPLS) is a funding programme providing affordable tuition fee and maintenance loans for full-time UK/EU students studying technology-based MSc courses.

Commonwealth Scholarships for Developing Countries
Students from developing countries who would not otherwise be able to study in the UK can apply for a Commonwealth Scholarship which includes tuition fees, travel and monthly stipend for Master’s study.

Future Finance Student Loans
Future Finance offer student loans of up to £40,000 that can cover living costs and tuition fees for all student at Cranfield University.

 

To find out about funding for UK MOD staff, please visit the MOD funding and eligibility page. 

For all other applicants, please contact cdsadmissionsoffice@cranfield.ac.uk for more information on funding.




Entry requirements

A first or second class Honours degree or equivalent in science, engineering or mathematics. Alternatively, a lesser qualification together with appropriate work experience may be acceptable.

English Language

If you are an international student you will need to provide evidence that you have achieved a satisfactory test result in an English qualification. The minimum standard expected from a number of accepted courses are as follows:

In addition to these minimum scores you are also expected to achieve a balanced score across all elements of the test. We reserve the right to reject any test score if any one element of the test score is too low.

We can only accept tests taken within two years of your registration date (with the exception of Cambridge English tests which have no expiry date).

Students requiring a Tier 4 (General) visa must ensure they can meet the English language requirements set out by UK Visas and Immigration (UKVI) and we recommend booking a IELTS for UKVI test.

Security clearance for Shrivenham

Some Cranfield University courses are delivered at the Defence Academy of the United Kingdom, Shrivenham which is a Ministry of Defence (MOD) site. All applicants to courses that are wholly or partially delivered at Shrivenham must complete the BPSS (HMG Baseline Personnel Security Standard V4 April 2014) prior to registration on the course or must already hold a security clearance to this level or higher.

Please visit our security clearance page for further information.


Your career

This course is typically a requirement for progression for certain engineering and technical posts within UK MOD.

Successful graduates of this course should be fully equipped for roles in defence intelligence, systems development and acquisition, involving the specification and analysis of such systems, working individually or as part of a team either in the military or in the defence industry. 

How to apply

Applicants may be invited to attend an interview. Applicants based outside of the UK may be interviewed either by telephone or video conference.