Optimal Algorithms Synthesis for Polarization Selection of Useful Signals on the Background of Passive Interference in Synthetic Aperture Radars

Abstract

Using the method of maximum likelihood the optimal algorithm of objects polarization selection on the background of the underlying surface, hydrometeors, urban buildings from aerospace carriers of radio electronic equipment has been synthesized. To solve the problem polarimetric properties of the scattered electromagnetic radiation of different natural environments and anthropogenic objects were analyzed. The functional-determined mathematical model of the useful signal, the structure and correlation characteristics of scattered background radiation and white noise inside the multichannel receiver has been determined. It is assumed that the desired signals are measured with phase accuracy in a coherent receiver. For optimization problem solution the method of the maximum likelihood functional and the likelihood functional for correlated processes with inverse matrix of inverse correlation functions of the observation equation were used. In addition to the classical operations of accumulating the trajectory signal with the preservation of the phase structure and its matched filtering the obtained signal processing algorithm provides polarization and frequency selection in the bank of decorrelation filters. The developed algorithm can be implement in cognitive radars due to its adaptability to the parameters of background radiation in accordance with the change in the scattering covariance matrix of the underlying surface. The block diagram of a multichannel polarization radar with synthesized antenna aperture has been developed.