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ELEC60031 Principles of Classical and Modern Radar Systems

Lecturer(s): Prof Athanassios Manikas


With the deployment of 5G, a radar revolution is also underway with many emerging applications beyond the “defence” and “security” domains/industries. Collision avoidance systems in self-driving cars, remote piloted civilian drones, emerging AgTech (Technology in Agriculture), robotics and industry automation, biomedical applications and remote sensing, are few examples of radar emerging application areas for detection, parameter estimation, localisation, tracking and classification of "objects". This module will provide the fundamentals of classical long-range radar but also the new frontiers of short-range radar (both "passive" and "active") for many anticipated "civilian" applications.

Learning Outcomes

Learning Outcomes:
- To use the radar equations
- To apply the radar theory to classify the various radar architectures and rate their performance
- To analyse and design the transmitter and receiver of any type of radar system.
- To design radar waveforms and system architectures aiming at improving the solutions of the detection, estimation, tracking and classification of various types of targets/objects/signals in the presence of noise, clutter and interference.


1. Classification of Radar Systems; Basics of Radar Architectures; Radar Equations, Waveforms, and Applications; Radar Cross Section of Targets; Applications. 2. CW, FM Radar; MTI and Pulse Radar; Monostatic, Bi-static and Multi-static Radar architectures and principles; Doppler Effects, Range and Doppler Measurement; Biologically inspired Radar waveform design; Cognitive Radar; Airborne Radar; 3. Detection, Estimation, Localisation, Tracking and Classification of Radar signals/targets/objects in the presence of Noise and Clutter. 4. Phased Array Radar, Synthetic Aperture Radar (SAR), SIMO Radar and MIMO Radar: Basic Concepts, Applications, Advantages and Limitations. 5. Civilian Applications; Defence, Security and Electronic Warfare Applications.
Exam Duration: N/A
Exam contribution: 0%
Coursework contribution: 100%

Term: Autumn

Closed or Open Book (end of year exam): N/A

Coursework Requirement:
         Coursework only module

Oral Exam Required (as final assessment): N/A

Prerequisite module(s): None required

Course Homepage: unavailable

Book List: