MIMO Radar Moving Target Detection Against Compound-Gaussian Clutter

This paper focuses on the moving target detection (MTD) problem for multiple-input multiple-output (MIMO) radar in the presence of compound-Gaussian clutter. By exploiting the spatial and velocity diversities, we devise two different generalized likelihood ratio tests (GLRTs) according to the centralized and distributed processing schemes of MIMO radar systems, respectively. Then, we investigate the fully adaptive detectors, where the covariance matrix is replaced by a suitable estimator based on the secondary data. Finally, we provide several numerical simulations with typical parameters, and the results illustrate that the newly proposed detectors can provide much better detection performance in spikier clutter for moving targets than the phased-array counterpart and those obtained in Gaussian environment.