Abstract:

An optimized measurement matrix design method for compressive sensing-multiple input multiple output (CS-MIMO) radar is proposed by applying the chaotic dynamical system to random filter design. Most of the previous research takes the Gaussian random matrix as the measurement matrix. However, it cannot realize online optimization and is hard to be implemented in physical electric circuit. Considering that the basis matrix is obtained from the CS-MIMO radar signal model, we propose a new measurement matrix design method applying the random filter. By constructing the filter coefficients with the chaotic sequence, the CS is achieved for the received signal. Moreover, an optimization method is performed on the equivalent measurement matrix of the random filter, by making the Gram matrix approach the diagonal matrix. The simulation results show that the proposed measurement matrix design and optimization method based on the chaotic random filter can effectively improve the direction of arrival (DOA) estimation accuracy of the CS-MIMO radar.