EC60103: Radar Signal Processing

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EC60103
Course name Radar Signal Processing
Offered by Electronics & Electrical Communication Engineering
Credits 3
L-T-P 3-0-0
Previous Year Grade Distribution
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Semester Spring


Syllabus

Syllabus mentioned in ERP

Pre-requisites: EC21004Analysis of discrete time signal, sampling theorem, estimation of frequency content in a signal, discrete Fourier transforms, random discrete signal analysis. Review of probability, auto and cross correlation, power spectral density, cross spectra. Spectral analysis of random signals, sampling autocorrelation function, window function, spectral estimates, parametric and non parametric estimates, detection of signals in noise, optimum detection algorithms, minimum probability of error, NeymanPearson criteria for radar application to air traffic control, radar sub optimum processor, detection of variable amplitude signals, matched filters, detection of random signal and estimation of signals in noise, Linear mean square estimation, Bayes estimator, maximum likelihood estimation of parameters of linear systems.


Concepts taught in class

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Classroom resources

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