An Improved Iterative Constrained Weighted Least Squares Solution for Moving Target Localization

This paper proposes an improved iterative constrained weighted least squares (ICWLS) localization algorithm based on the time difference of arrival (TDOA) and the frequency difference of arrival (FDOA) in the presence of receiver position errors. Instead of estimating the positional parameters, the errors of the parameters are estimated in the proposed method. It not only avoids the nonlinear operations in the twostage weighted least squares (TSWLS) algorithm, but simulation results indicate that the proposed algorithm showcases higher accuracy and better anti-noise performance compared to existing algorithms.