Iterative Target Localization in Distributed MIMO Radar From Bistatic Range Measurements

Abstract

This letter discusses the problem of determining the target position from bistatic range measurements in a multiple-input multiple-output radar system with widely separated antennas. By introducing nuisance parameters and taking the relationship between these parameters and the unknown target position into consideration, the problem is formulated as a constrained weighted least squares (CWLS) problem, which is a quadratically constrained quadratic programming problem. Since the constraints are nonconvex, finding the global solution is a difficult task. To solve this problem, an iterative CWLS method is developed in this letter. We iteratively approximate each nonconvex constraint as a linear constraint to convert the problem as a linearly constrained quadratic programming problem and then solve the problem. Numerical simulations are included to support and corroborate the theoretical developments.