无线定位扩展卡尔曼滤波算法的优化

Optimization of Extended Kalman Filter for Cellular Mobile Location

设计了一种蜂窝系统无线定位中使用的扩展卡尔曼滤波 (EKF)算法 ,对其性能进行了仿真 .通过仿真结果分析 ,寻找出算法优化方法 .优化方法综合了到达时间 (TOA)信号测量方差和雅可比矩阵计算出预测误差 ,然后对算法估计出的用户位置进行修正 .仿真结果显示 ,优化后定位估计性能比优化前的算法性能有显著改善 .

An extended Kalman filtering (EKF) algorithm is designed for radiolocation in cellular communication system, and simulation is conducted to examine its performance. An improvement of the algorithm is then made, using predicative error obtained by variance of time of arrival (TOA) measures and the linear relation between the measurement and the state vectors revealed by the simulation results. The predicative error is used to adjust the estimation of mobile position achieved by the fore EKF algorithm. Finally, the location accuracy obtained from the improved EKF shows better performance than the fore one in simulations, even in the case of non light of sight (NLOS).