TOA-based combined location positioning algorithm in NLOS propagation environment
TOA-based combined location positioning algorithm in NLOS propagation environment
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发表时间：
2005
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通讯作者：
Zhen Jie;Ma Xiao-hong
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作者：
Zhen Jie;Ma Xiao-hong
为了消除非视距传播误差对高精度无线定位系统的影响，在分析了一些新的非视距误差抑制算法的基础上，提出了一种结合残差排序和伪距尺度的TOA位置估计新算法。该算法首先利用残差排序法从测距集合中选出残差平方和最小的子集，然后利用一种简化的距离尺度约束算法(RSA)对受NLOS误差影响的伪距测量值进行优化，得到更准确的位置估计，从而粗略地消除NLOS误差。后一种算法可以进一步提高定位精度。仿真结果表明，与直线位置算法和泰勒级数位置估计算法相比，该算法在定位精度上有了很大的提高。
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.