基于Kalman滤波器的非视距误差抑制算法

针对蜂窝网定位中影响定位精度的非视距传播误差问题，提出一种基于Kalman滤波器的非视距(NLOS)误差抑制算法，将到达时间(TOA)测量值及非视距误差作为Kalman滤波器的状态变量，根据TOA测量值的结构特点和NLOS误差的统计特性，确定Kalman滤波器过程方程的状态转移矩阵。以NLOS误差服从指数分布的情况为例进行仿真，结果表明，该算法在精度估计和算法计算量方面具有明显优势。

Non-Line-Of-Sight Error Mitigation Algorithm Based on Kalman Filter

The Non-Line-Of-Sight(NLOS) error is the main difficulty for mobile user location in cellular wireless communication system. A new NLOS error mitigation algorithm based on the Kalman filter is presented. Both the true value of Time Of Arrival(TOA) and the NLOS error are serves as the state variances of Kalman filter. According to the construction features of the former and the statistic characteristics of the latter, the state transition matrix of Kalman filter is got. The situation when NLOS is exponential is taken as the example, and the results indicate the algorithm can work faster with better estimation accuracy.