Time-difference-of-arrival Location Method of UAV Swarms Based on Chan-Taylor

Aiming at the problem that the initial value of Taylor algorithm may cause large error in localization result when solving the unmanned aerial vehicle (UAV) swarms time-difference-of-arrival(TDOA) passive localization equation, a hybrid algorithm based on Chan-Taylor is proposed. The hybrid algorithm proposed in this paper is based on Chan algorithm, and then the location result is used as the initial value of Taylor algorithm iteration, and stop iteration until the error is lower than the threshold, and finally output the localization result. Simulation results show that the localization accuracy, convergence speed and adaptability of the Chan-Taylor hybrid algorithm are better than the original Chan algorithm.