GLR approach for MIMO radar signal sampling in unknown clutter parameter

Multiple-input multiple-output (MIMO) radar has been shown to provide enhanced performance in theory and practice. The MIMO radar is a type of multi-static radar, that uses multiple antennas at both the transmitter and receiver to improve the detection performance. In this paper, we propose a generalized likelihood ratio test (GLRT) for target detection by MIMO radar in unknown Gaussian clutter. We focus on MIMO radar with widely separated antennas. Mathematical results indicate that the number of receiver antennas should be more than the number of received signal samples in a pulse repetition interval (PRI); i.e, in each processing round, the number of secondary data set (from different antennas), should not be less than the number of the received signal samples in each antenna receiver.