Radar Signal Processing Based on Nonlinear Frequency Modulated Waveforms

Abstract

The linear frequency modulated (LFM) signal is extensively worn in practical radar systems. A weighting function is required for LFM in order to reduce the side lobes, which considerably decreases the SNR. In an attempt to attain low autocorrelation side lobes without applying weighting function, a different kind of radar waveform is needed, that exhibits high SNR and high range resolution. A Non linear frequency modulated (NLFM) waveform is then investigated which have the ability to overcome all the corns of the linear frequency modulated (LFM) waveform.

The objective of this dissertation is to study and observe different performance parameters for the NLFM and LFM with the help of computer simulations. Moreover Radar ambiguity function (RAF) is also analyzed and used for studying various performance parameters of both NLFM and LFM waveforms. The comparative study of both the waveforms and their respective parameters is done.