DS4071 Radar Signal Processing Syllabus:
DS4071 Radar Signal Processing Syllabus – Anna University PG Syllabus Regulation 2021
COURSE OBJECTIVES:
To understand the Radar Signal acquisition and sampling in multiple domains
To provide clear instruction in radar DSP basics
To equip the skills needed in both design and analysis of common radar algorithms
To understand the basics of synthetic aperture imaging and adaptive array processing
To illustrate how theoretical results are derived and applied in practice
UNIT I INTRODUCTION TO RADAR SYSTEMS
History and application of radar, basic radar function, elements of pulsed radar, review of signal processing concepts and operations, A preview of basic radar signal processing, radar system components, advanced radar signal processing
UNIT II SIGNAL MODELS
Components of a radar signal, amplitude models, types of clutters, noise model and signal-to noise ratio, jamming, frequency models: the doppler shift, spatial models, spectral model
UNIT III SAMPLING AND QUANTIZATION OF PULSED RADAR SIGNALS
Domains and criteria for sampling radar signals, Sampling in the fast time dimension, Sampling in slow time: selecting the pulse repetition interval, sampling the doppler spectrum, Sampling in the spatial and angle dimension, Quantization, I/Q Imbalance and Digital I/Q.
UNIT IV RADAR WAVEFORMS
Introduction, The waveform matched filter, Matched filtering of moving targets, The ambiguity function, The pulse burst waveform, frequency-modulated pulse compression waveforms, Range sidelobe control for FM waveforms, the stepped frequency waveform, Phase-modulated pulse compression waveforms, COSTAS Frequency Codes.
UNIT V DOPPLER PROCESSING
Alternate forms of the Doppler spectrum, Moving target indication (MTI), Pulse Doppler processing, dwell-to-dwell stagger, Pulse pair processing, additional Doppler processing issues, clutter mapping and the moving target detector, MTI for moving platforms: adaptive displaced phase center antenna processing
PRACTICAL EXERCISES: 30 PERIODS
1.Matched filtering operation
2.Modeling the Propagation of Radar Signals
3.Modeling of radar targets
4. Density-based algorithm for clustering data.
5.MTI radar design, target detection in noise
6.Estimation of bearing angle in noise, clutter modelling
7.Frequency modulated radar signal generation
8.Doppler shift Signal strength
9.SNR loss measurement in pulse compression
10.detection performance of a radar system
TOTAL:45+30=75 PERIODS
COURSE OUTCOMES:
Upon completion of the course, the students will be able to
CO1: perform radar signal acquisition and sampling
CO2: perform algorithm on radar processing
CO3 :design basic radar algorithm
CO4: design on aperture imaging and array processing
CO5: Illustrate theoretical results are derived and applied in practice
REFERENCES
1. Michael O Kolawole, “Radar systems, Peak Detection and Tracking”, Elseveir. 2003
2. Introduction To Radar Systems 3/E, Skolnik, McGraw Hill. 2017
3. Radar Principles, Peyton Z. Peebles, Wiley India 2009
4. And Marvin N. Cohen, Fred E. Nathanson, Radar Design Principles-Signal Processing and the environment PHI, 2nd edition, 2006.