非视线传播环境下基于TOA的综合无线定位算法

针对精确无线移动定位系统中影响定位精度的非视线(NLOS)传播误差问题,在简要分析几种最新NLOS误差消除算法的基础上,提出了一种新的基于信号到达时间(TOA)的综合位置确定算法.该算法首先通过残差排序筛选找出距离测量集合中具有最小残差平方和的伪距测量子集合,达到初步消除NLOS误差的目的;然后采用一种简化的伪距尺度约束算法优化伪距尺度因子,从而得到较准确的距离测量值,以进一步提高定位精度.仿真结果表明这种新方法比线性位置线算法和泰勒级数展开最小二乘位置估计算法性能优越,在一定程度上提高了无线定位的准确度.

TOA-based combined location positioning algorithm in NLOS propagation environment

In order to mitigate the effects of non-line-of-sight (NLOS) propagation error in accurate wireless location positioning system, by analyzing some new NLOS error mitigation algorithms, a novel combined TOA-based location estimation algorithm with the methods of residual ranking and pseudo range scale restrained is presented. To mitigate the NLOS error sketchily, the algorithm first tries to pick out the subset with minimum sum of residual square in range measurement set by residual ranking (RR) method, then uses a simplified range scale restrained algorithm (RSA) to optimize pseudo range measurements corrupted by NLOS error and derives more accurate location estimation. The latter algorithm can further improve the location accuracy. Simulation results show that it provides quite well improvement of location accuracy than linear line of position algorithm and Taylor series location estimation algorithm.