Advanced Sensor Data Processing

Course structure

The course is run once each year. Each course lasts for 5 days.

What you will learn

Modern sensor systems use a wide range of techniques to pull the wanted signals out of noise and interference, and this course addresses theses techniques in detail. It is suited to engineers and managers who require an in-depth knowledge of modern sensor systems and the processing used in these systems.

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.

Bayesian belief networks

• Handling uncertainty,
• Bayesian inference.

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.

Implementation of the above techniques in Matlab.

Upgrade to a professional qualification

When taken as a Short Course for Credit, 10 credit points can be put towards the Military Electronic Systems Engineering MSc.

Find out more about short course credit points.

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