Abstract:In order to locate a moving target with a single observer receiving signals from multiple illuminators

with the time differences of arrival (TDOAs) and frequency differences of arrival (FDOAs) between direct signals and target echoes as measurements

Taylor iterative method is used to estimate the target position and velocity. The initial iteration value is given by a least squares (LS) algorithm. The Cramer-Rao lower bound (CRLB) and the theoretical error of the proposed algorithm are also derived. Simulation results show that the proposed algorithm needs merely one iteration to converge to the global optimal solution. The CRLB of jointing TDOA and FDOA location system is lower that of the TDOA-only and FDOA-only system. Moreover

the proposed algorithm achieves the CRLB at moderate noise level before the threshold effect occurs. From the Geometric Dilution of Precision (GDOP) figure

we conclude target position and illuminator position are also important factors affecting the localization accuracy.