一种改进的TDOA概率定位算法及应用

在TDOA无源定位方法中，定位精度一直是最根本的问题，一个完整的定位解应包括一个最可能定位点坐标和一定误差条件下的定位边界，且定位性能与系统内监测站的布局有关.作者对一种概率定位算法进行了改进以满足实际工程要求.大量试验与仿真表明，改进后的算法降低了运算复杂度，具有很强的实用性，并已经成功运用于无线电网络监测系统.

The research and application of an improved TDOA probability location algorithm

In the system of TDOA (Time Difference of Arrival) passive location, location accuracy is always the most essential problem. A complete location result should be composed of a location point with the greatest probability and a location boundary under a certain error, in addition, location performance is related to the deployment of the monitoring stations. A probability location algorithm is improved to meet the practical requirement in this paper. A lot of simulations and tests indicate that this improved method is convenient for application since it reduced the computational complexity, and it has been successfully applied in the wireless monitoring system.