Cognitive design of the transmitted phase code and receive filter in reverberating environment

In this paper, we consider the problem of knowledge-aided transmit signal and receive filter design for a point-like target embedded in a high reverberating signal-dependent environment. We focus on phase-only waveforms and devise a constrained optimization procedure which sequentially improves the Signal to Interference plus Noise Ratio (SINR), forcing a similarity constraint between the transmitted signal and a known radar waveform sharing a good ambiguity function. The computational complexity of the proposed algorithm is linear with the number of iterations and polynomial with the receive filter length. At the analysis stage, the performances of the technique are assessed in the presence of a homogeneous clutter scenario.