Signal Processing, Statistics and Analysis

This short course is a module from the Military Electronic Systems Engineering  MSc (MESE) it is also shared by Guided Weapons System (GWS) MSc course. It is delivered by Cranfield University on behalf of the Defence College for Military Capability Integration, Defence Academy.

This course provides the analytical tools required to describe the signals found in communications and sensor systems and also the techniques employed in such receivers. This course is a foundation module for anyone who is intent on studying communications, radar and electro-optics systems at masters level.

You will learn/develop:

• statistics and noise - probability, random variables and probability distributions; covariance and correlation. Cascaded networks and the mathematical representation of noise
• analogue signal processing including 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
• digital signal processing - matched filters, the z-transform. Advantages/disadvantages of DSP, sampling and quantisation, digital filters, the 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

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 radar, electro-optics, communications or information systems, where the emphasis is on an electronic warfare environment.