This graduate-level course is the second in a two-part sequence in radar analysis and design. It covers signal processing techniques used in pulsed radar systems. Topics include signal modeling, matched filter, frequency-modulated pulse compression waveforms, pulse Doppler processing, the Neyman-Pearson detection theory, constant false-alarm rate detection, beamforming and space-time adaptive processing.
Why take this course?
These courses cover the theory and practice of radars. Radar systems bring together ideas and techniques from many other areas of electrical engineering. 5636 covers the signal processing methods and techniques in radar systems for noise filtering and clutter and jamming suppression.
The prerequisite for 5635 is 5605 or graduate standing because this course requires a working knowledge of probability theory and statistics. The prerequisite for 5636 is 5635.
Major Measurable Learning Objectives
f) describe models of targets, clutter and noise in radar systems.
g) design a matched filter to meet specific performance criteria.
h) analyze MTI filter and pulse Doppler processing for clutter attenuation.
i) explain the Neyman-Pearson detection theory for radar signals.
j) describe constant false alarm detection techniques in interference scenarios.
k) design space-time adaptive processing for clutter and jamming suppression.
Percentage of Course
1. Review of radar systems
2. Swirling models for radar cross-section and noise and clutter models.
3. Sampling of pulsed radar signals in space-time dimensions and Doppler spectrum
4. Design of matched filer of moving target
5. Moving Target Indicator (MTI) and Doppler processing for clutter attenuation
6. Neyman-Pearson detection theory for radar signals