Two-step GLRT design of MIMO radar in compound-Gaussian clutter

Abstract

This paper mainly deals with the target detecting problem using a MIMO radar against compound-Gaussian clutter with an unknown covariance matrix. The space-time coding MIMO radar model has adopted, and developed to compound-Gaussian case. The detector based on generalized likelihood ratio test (GLRT) criterion is studied, and two-step design procedure is adopted. Specifically, the GLRT is derived by assuming known covariance matrix, and then, a suitable estimate based on secondary data is inserted into the derived detector to make fully adaptive. Some numerical results are given, showing that the derived GLRT can provide a good performance in spikier clutter and the adaptive loss is acceptable.