Quantized phase code and receive filter synthesis in reverberating environment

In this paper, the problem of cognitively designing the transmit signal and the receive filter for a point-like target embedded in a high reverberating environment is addressed. Precisely, a dynamic environmental database on the actual scattering environment is assumed available. Then, an optimization procedure which sequentially improves the Signal to Interference plus Noise Ratio (SINR), exploiting the aforementioned information, is presented. A quantized phase-only condition, and a similarity constraint between the transmitted signal and a known radar waveform sharing a good ambiguity function, are enforced. 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 in the presence of a homogeneous clutter scenario are assessed.