GLRT design for polarimetric MIMO radar in non-Gaussian clutter

This paper mainly deals with target detecting problem using polarimetric multiple input multiple output (MIMO) radars against non-Gaussian clutter. In general, spherically invariant random process (SIRP) describes the distribution of clutter in high resolution radar and in the lowing gazing angle cases. First, we develop the MIMO signal model to two polarimetric channels and SIRV clutter-dominated scenario, and then the generalized likelihood ratio test (GLRT) is derived. Several numerical examples is given, and the results show that the polarimetric diversity and the spatial diversity are all exploited to improve the detection performance, and it outperforms the conventional polarimetric phased-array counterpart.