Compressed Sensing-Based DOA and DOD Estimation in Bistatic Co-Prime MIMO Arrays

The bistatic co-prime multi-input and multi-output (MIMO) arrays are considered. With multiple far-field targets, both the directions of departure (DODs) and the directions of arrival (DOAs) are estimated. By exploiting the larger virtual array aperture, the better estimation performance can be achieved. Additionally, the compressed sensing (CS)-based method is proposed to exploit the target sparsity in the detection area. Moreover, the theoretical Cramer-Rao lower bound (CRLB) of the target estimation is theoretically derived. Simulation results show that the better estimation performance can be achieved than the traditional uniform linear arrays.