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Course structure

What you will learn

Signal processing and statistics provide 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.

On successful completion of the course you 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.

Core content

• 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.

Upgrade to a professional qualification

When taken as a Short Course for Credit, 10 credit points can be put towards either the Communications Electronic Warfare PgCert, Sensors Electronic Warfare PgCert, Military Electronic Systems Engineering Foundations PgCert, Guided Weapon Systems MSc or Military Electronic Systems Engineering MSc.

Find out more about short course credit points.

Who should attend

Speakers

Dr Peter Barker

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