Advanced Sensor Data Processing

Course structure

What you will learn

On successful completion of this course you will be able to: 

• 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,
• 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; assess their performance.

Core content

The course covers the following topics:

• Adaptive Signal Processing: Adaptive FIR and spatial filters, error surface, Newton’s method, gradient search method, LMS algorithm, practical examples,
• Sonar signal processing: Beamforming, passive analysis, active processing,
• Multi-layer perceptrons: Architecture, Back-propagation algorithm, performance of the algorithm, Unsupervised learning, Hebbian learning, 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.

Upgrade to a professional qualification

Who should attend

The course is intended for military officers and defence industry scientists and technical officers. It is particularly suitable for those who will be involved with the specification, analysis, development, or technical management of military communications or sensor systems.

Students must have completed Signal Processing, Statistics and Analysis in order to take this as a Short Course for Credit. There are no prerequisites if taken as a Standalone Short Course.

Speakers

Dr Venkat Sastry

Location and travel

Cranfield Defence and Security (CDS) is a Cranfield School based at the Ministry of Defence establishment on the Oxfordshire/Wiltshire borders.

Shrivenham itself lies in the picturesque Vale of the White Horse, close to the M4 motorway which links London and South Wales. It is 7 miles from Swindon, the nearest town, which lies off the M4 at the hub of Britain’s motorway network.

Bath, Cheltenham, Bristol and Oxford are all within an hour’s drive and London less than two hours away by car.

All visitors must be pre-booked in at reception by the person they are visiting on the campus.

For further location and travel details