Target Detection using Polarimetric Distributed MIMO Radar in Heterogeneous Compound-Gaussian Clutter

Abstract

A polarimetric distributed MIMO radar detector in heterogeneous compound Gaussian clutter is proposed. Based on the modified signal model of the polarimetric distributed MIMO radar, the inverse Gamma distribution assumption on the clutter texture and the complex inverse Wishart distribution assumption on the speckle clutter covariance matrix, the secondary data is used to obtain the maximum posteriori estimation of the texture so as to avoid the integral operation in test statistic. The Bayesian knowledge-aided polarimetric generalized likelihood ratio detector is then acquired. Simulation results show that the proposed detector has a better detection performance than the existing detector.