TL;DR: An effective TDOA localization algorithm is developed and the results of simulation show that using KWTLS method instead of the first WLS in the Chan's algorithm can significantly improve its performance in distant source cases.
Abstract: A Kernel-based Weighted Total Least Square (KWTLS) method is proposed at first. Based on this method, an effective TDOA localization algorithm is developed. The results of simulation show that using KWTLS method instead of the first WLS in the Chan's algorithm can significantly improve its performance in distant source cases. A dynamic weight coefficient adjusting method is also proposed, which can effectively reduce the effect of noise variance.
TL;DR: In the cellular mobile communication system, a location and tracking algorithm with non-line of sight(NLOS) error for MS(mobile station) is proposed, the performance of this algorithm is better in positioning and tracking for MS.
Abstract: In the cellular mobile communication system, a location and tracking algorithm with non-line of sight(NLOS) error for MS(mobile station) is proposed. The NLOS errors are corrected using RBF neural network on TDOA/AOA measurements, then the position of MS is estimated by the Chan's algorithm and the initial estimated value of position is corrected using kalman filtering. Furthermore, cooperating the correlation detection gate, the MS is tracked by the algorithm. The simulation results show that the performance of this algorithm is better in positioning and tracking for MS.