Target tracking algorithm in T~n-R passive radar using TOA measurement

A target tracking method based on the time of arrival(TOA) measurement is proposed.This method not only overcomes the disadvantage of special sites-deploying requirement in the location algorithm based on single-time TOA measurement but also greatly improves the location precision.Based on the TOA measurements of multi-stations,an extended Kalman filter(EKF) is used to track targets.To quicken the EKF converging speed,the Levenberg-Marquardt algorithm is utilized to give a more accurate initial value.Then a method to judge targets' manoeuvre and a simplified tracking scheme are offered.Considering the nonideal property of the outfield condition,a system with only two emitters and one receiver is introduced and a method to eliminate the fuzzy track is presented.Simulation and real data processing results prove that the proposed method has the advantages of fast converging speed,stable performance and high precision.