Moving target localization in noncoherent distributed MIMO radar systems using range and range rate measurements

This paper considers the problem of moving target localization in noncoherent distributed multiple-input multiple-output (MIMO) radar systems by using the bistatic range and range rate measurements. We propose a weighted least squares (WLS) method to estimate the target position and velocity, and then use the semidefinite programming (SDP) method to improve the accuracy of the WLS estimation by relaxing the constraints that exist in the WLS solution. Simulation results are included to show the performance of the proposed algorithm. It is shown that the proposed method can reach the Cramer-Rao lower bound (CRLB) in a range of moderate measurements noise, and the proposed algorithm is robust to some special geometries, in which the two-step weighted least squares-based (2SWLS-based) methods will be failed.