计算机应用与软件2012，Vol.29Issue(6)：233-235,249,4.
基于贝叶斯推理的TDOA/AOA定位算法
A BAYESIAN REASONING BASED TDOA/AOA LOCATION ALGORITHM
周俊奇 1孟庆民1
作者信息
- 1. 南京邮电大学通信与信息工程学院 江苏南京210003
- 折叠
摘要
Abstract
In LOS environment, TDOA and electric wave AOA location technology can achieve better results, but in NLOS environment, it cannot achieve good positioning effects. In a non-ideal channel environment, there are multi-path propagations and NLOS propagations between cellular stations and mobile terminals. All these factors may affect position accuracy. To study signal measurements error characteristics, realistic channel environmental models for LOS and NLOS propagations are established. Bayesian reasoning method is made use of to estimate AOA measurements so as to effectively eliminate the interference of additive noises. Simulation results show that, in NLOS environment, the performance of this algorithm is superior at positioning to either pure TDOA or pure TDOA/AOA algorithm.关键词
到达时间差/到达角/非视距/贝叶斯推理/定位Key words
TDOA/AOA/NLOS/Bayesian reasoning/Location分类
信息技术与安全科学引用本文复制引用
周俊奇,孟庆民..基于贝叶斯推理的TDOA/AOA定位算法[J].计算机应用与软件,2012,29(6):233-235,249,4.
