Information-Theoretic Algorithm for Waveform Optimization Within Ultra Wideband Cognitive Radar Network

Download Now Date Added: May 2010
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A novel information-theoretic approach for designing the Ultra WideBand (UWB) waveforms is developed. This approach utilizes the Mutual Information (MI) between subsequent radar returns to extract desired information from the radar scene. With this approach, the radar system constantly learns about its surroundings and adopts its operational mode accordingly based upon the MI criterion. The positioning algorithm makes use of this information about the radar scene to generate more accurate positional estimates. Simulation results demonstrate the improvement in probability of target detection even at lower values of Signal to Noise Ratio (SNR) of the received radar signal. The proposed algorithm also promises a better delay-Doppler resolution of the target which can be analyzed through the radar ambiguity function.