Research on location algorithm for vector miss distance measurement system

A new approach for estimating the vector parameters of the target is presented, which is based on the extraction of the target motion trajectory in space. The distance differences, which are got from the phase differences of echo signals between the different receiving antennas, are utilized to get the spatial localization point sequences of the target. Further the fixed-interval Kalman smoothing filter is adopted to obtain a more accurate target motion trajectory by constructing the motion model of the target. Then by utilizing the smoothed localization point, a set of linear equations is formed and the vector parameters are estimated. The simulation results of the performance of the proposed method indicate the validity in the parameter estimation of miss distance.