Target Detection Using Orthogonal Polyphase MIMO Radar Waveform against Compound Gaussian Clutter

This paper mainly deals with the target detection using orthogonal Polyphase Multiple Input Multiple Output (MIMO) radar waveforms against compound-Gaussian clutter with an unknown covariance matrix. The design of orthogonal code sets with correlation properties can effectively improve the radar performance by transmitting orthogonal waveforms optimized by Particle Swarm Optimization Algorithm (PSO). The space-time coding MIMO radar model has adopted, and developed to compound-Gaussian case. The GLRT is developed by assuming known covariance matrix, and then, a suitable estimate based on secondary data is inserted into the detector to make fully adaptive. The simulation results show that the orthogonal waveform and the GLRT used in MIMO radar Model can provide a good performance in spikier clutter.