一种基于TDOA重构的蜂窝网定位服务NLOS误差消除方法

在非视距传播(NLOS)环境中，到达时间差(TDOA)测量值受NLOS误差的影响而产生偏差^[1]，使得Chan算法^[2]的定位性能显著下降。基于NLOS误差的先验信息，利用平均超量时延和均方根时延扩展之间的关系，本文为基于移动台(MS)的定位方案提出了一种建立在TDOA测量值重构和Chan算法基础上的改进算法，使得平均超量时延的影响显著下降。分析和仿真结果表明，与Chan算法相比，该算法的定位性能显著提高。

An NLOS error mitigation scheme based on TDOA reconstruction for cellular location services

In non-line-of-sight propagation (NLOS) environment, the location performance of Chan′s algorithm [1] is significantly degraded because the time difference of arrival (TDOA) measurement is biased by a NLOS error [2]. Based on the prior knowledge of the NLOS measurement error and taking advantage of the relation between mean excessive delay and rms delay spread, an improved algorithm based on Chan′s algorithm and reconstruction of TDOA measurements is proposed for Mobile Station (MS) based location scheme. After the reconstruction of TDOA measurements, the influence of the mean excessive delay is reduced. Our analysis and simulation results show that the location performance of the new algorithm is significantly improved compared with Chan′s algorithm.