Adaptive MIMO Radar Waveform Optimization Based on Mutual Information
A novel approach for optimizing the waveform of an adaptive Multiple-Input Multiple-Output (MIMO) radar waveforms is developed. The research work aims at improving target detection and feature extraction performance by maximizing the Mutual Information (MI) between the target impulse response and the received echoes in the first step, and then minimizing the MI between successive backscatter signals in the second step. The waveform optimization algorithm is based upon adaptive learning from the radar scene, which is achieved through a feedback loop from the receiver to the transmitter. This feedback includes vital information about the target features derived from the reflected pulses.