一种考虑非视线传播影响的TOA定位算法

A TOA-based location algorithm reducing the errors due to non-line-of-sight propagation

本文提出了当接收端在空间随机分布时考虑非视线 (NLOS)传播影响的TOA算法。其主要思想为用一新变量代替定位估计中的两次项 ,把非线性估计转化为两步最大似然 (ML)线性估计 ,并通过加入松弛变量和采用搜索的方法 ,消除NLOS传播对定位算法的影响。此算法结构简单 ,计算量不大 。

An effective algorithm which including the influence of non line of sight(NLOS) Propagation is proposed By using a new variable to replace the square term,the nonlinear estimation can be transformed into a two step maximum likelihood(ML) linear estimation;then adding the loose variables,searching the suitable solution adaptively,the NLOS's effect to the proposed algorithm can be evaluated This method is simple and can save the computation time Comparing with other method,it has higher accuracy