Abstract: Based on Geometrically Based Single-Bounced（GBSB） statistical model，a TDOA/AOA data fusion location algorithm is proposed.The position of MS is calculated by TDOA location algorithm and AOA location algorithm，then the position of MS is determine by data fusion location algorithm.The simulation results indicate that the location accuracy is significantly improved and the performance of this algorithm is better than that of TDOA location algorithm and AOA location algorithm in NLOS environment.

Key words: NLOS, TDOA, AOA, data fusion

摘要：

基于非视距传播（NLOS）环境下的几何结构单次反射统计信道模型，提出了到达时间差/电波到达角（TDOA/AOA）数据融合定位算法。利用TDOA定位算法和AOA定位算法分别估算移动台（MS）位置，然后利用数据融合方法确定MS位置。仿真结果表明，本文算法在NLOS环境下有较高的定位精度，性能优于TDOA定位算法和AOA定位算法。

关键词: 非视距传播, 到达时间差, 电波到达角, 数据融合