Waveform design and receiver filter optimization for multistatic cognitive radar

We consider the problem of joint transmit waveform optimization and receiver filter design in a signal-dependent clutter environment for a multistatic radar. We devise an optimization procedure that, by maximizing the Signal to Interference Noise Ratio (SINR) under certain constraints on the distortion of the transmitted signals, will iteratively optimize both the orthogonal codes and the receiver filter at the radar with centralized cognition abilities. The waveform design is based on the exploitation of initial radar codes characterized by desired auto and cross-correlation properties. Various performance analyzes demonstrate the effectiveness of the algorithm in providing a significant increase in SINR in a highly reverberating environment.