基于TDOA残差的NLOS误差抑制算法

None Line of Sight Error Mitigation Algorithm Based on TDOA Residual

在基于时间定位的方法中,非视距传播(NLOS)是影响定位精度的一个关键因素。本文在分析TDOA残差的基础上,利用残差与待定目标估计位置之间的关系,给出了残差加权算法。研究了当NLOS为确定性和随机性误差两种情况下残差加权算法的性能,并与其他4种算法进行了比较。仿真结果表明,该算法在不同场合和环境下都能有效地抑制NLOS误差,而且无需信道关于LOS-NLOS的统计模型和先验信息,定位精度明显提高。

A key factor for affecting the location accuracy based on time location is the none line of sight （NLOS）. Using the relation between the residual and the real coordinate of the source, a residual weighting algorithm （Rwgh） is proposed based on the analysis of the TDOA residual. The performance of Rwgh is also studied when the NLOS error is a deterministic variable and a random variable, and compared with that of the other four algorithms. Simulation results show that Rwgh can effectively restrain NLOS errors in different cases and environments. There is no need to have statistical models or prior information under LOS-NLOS channel conditions. And the location accuracy is apparently increased.