Target localization in noncoherent distributed MIMO radar system using squared range-sum measurements

This paper considers the problem of target localization from the bistatic range-sum measurements in noncoherent distributed multiple-input multiple-output (MIMO) radar system. The localization procedure includes two parts. First, it divides the measurements into several groups based on the different transmitter or receiver, and for each group, we use least squares (LS) approach based on squared range-sum measurements (SRS-LS) and weighted least squares (WLS) approach based on squared range-sum measurements (SRS-WLS) to estimate the target location. Second, we use the estimates from different groups to form a composite estimate. Simulation results are include to show the performance of the proposed algorithms. It is shown that the SRS-LS is very close to the Cramér-Rao lower bound (CRLB), and the SRS-WLS can reach the CRLB in a range of moderate measurements noise.