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A Unified Framework for Multistatic Passive Radar Target Detection Under Uncalibrated Receivers

This work addresses the target-detection problem in a passive multistatic radar consisting of one transmitter and several spatially separated receivers (i.e., single-input multiple-output (SIMO) configuration) without exploiting the reference channel (RC). Several solutions for this problem are developed within the Rao, likelihood ratio test (LRT) and geometrical representation frameworks as well as under different assumptions on parameter space of this problem. Thus, a unified framework for multistatic passive radar target detection is created. To do this, we formulate three different target detection problems as composite hypothesis testing problems, where they differ based on different assumptions on the parameter space of the alternative hypothesis, resulting in four new detectors. We analytically prove that most of the proposed target detection methods posses constant false alarm rate (CFAR) behavior against the noise variance uncertainties across different receivers. Then, through Monte-Carlo simulations, we examine the detection performance of the proposed detectors to show the capabilities of the proposed detectors.