Optimization design of CS-MIMO radar sparse random array

To improve the parameter estimation performance of the compressed sensing(CS) theory based MIMO radar, a method of optimizing the sparse random array in CS-MIMO radar is proposed. Considering the difficulty of hardware implementation of the typically used measurement matrix such as Gaussian random matrix, in this paper, we exploit the inner connection between sparse random array and CS to study a new method of measurement matrix construction and make use of the randomness of the array elements to realize compressive measurement. The simulated annealing is applied to the sparse random array optimization in CS-MIMO radar in order to reduce the coherence of the equivalent sensing matrix and improve the parameter estimation performance by acting on the elements' positions of transmitting and receiving arrays. The simulation results verify the effectiveness of the proposed approach.