EC60103: Radar Signal Processing
| EC60103 | |
|---|---|
| Course name | Radar Signal Processing |
| Offered by | Electronics & Electrical Communication Engineering |
| Credits | 3 |
| L-T-P | 3-0-0 |
| Previous Year Grade Distribution | |
| {{{grades}}} | |
| Semester | Spring |
Syllabus[edit | edit source]
Syllabus mentioned in ERP[edit | edit source]
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.