Aerial Target Localization Based on Least Squares and Newton Iterative Algorithm

In the positioning process of the remote and high speed moving target, improving localization accuracy is one of the important aspects of engineering.Aiming at the problem that least squares influenced by measuring error seriously, this paper puts forward the blending algorithm which based on least squares and Newton iterative algorithm.The algorithm combines the advantages of least squares good performance in estimation and Newton iterative method high speed of convergence in iteration.The simulation results indicate that the RMSE reduced by 43m compare with the localization result of least square method when the time measurement accuracy is 5ns.