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复杂环境下的自适应移动台定位方法
引用本文:万群,杨万麟,彭应宁,汤俊,许稼. 复杂环境下的自适应移动台定位方法[J]. 电子学报, 2005, 33(10): 1857-1859
作者姓名:万群  杨万麟  彭应宁  汤俊  许稼
作者单位:电子科技大学电子工程学院,四川成都,610054;清华大学电子系,北京,100084
摘    要:在复杂的定位环境中,常见的非直达波传播往往导致普通移动台的定位性能难以满足基于位置的服务要求.与利用单个移动台对抗非直达波效应的现有思路不同,本文提出了一种新的方法,先利用具有附加定位数据采集能力的移动台的较高精度定位结果提取环境特征信息,再通过自适应非线性滤波器共享该信息,达到改善普通移动台定位性能的目的.仿真实验表明,该方法能够明显的抑制非直达波传播环境对时差定位性能的恶劣影响.

关 键 词:时差定位  非直达波  自适应非线性滤波  环境信息
文章编号:0372-2112(2005)10-1857-03
收稿时间:2004-12-27
修稿时间:2004-12-272005-06-27

Adaptive Mobile Location in Case of Complex Environment
WAN Qun,YANG Wan-lin,PENG Ying-ning,TANG Jun,Xu Jia. Adaptive Mobile Location in Case of Complex Environment[J]. Acta Electronica Sinica, 2005, 33(10): 1857-1859
Authors:WAN Qun  YANG Wan-lin  PENG Ying-ning  TANG Jun  Xu Jia
Affiliation:1. Dept.of Electronic Engineering,University of Electronic Science and Technology of China,Sichuan Chengdu 610054,China;2. Dept.of Electronic Engineering,Tsinghua University,Beijing 100084,China
Abstract:In complex situations,the ordinary mobile station(MS) often suffers from ubiquitous non-line of sight(NLOS) propagation.Unlike the approaches that depend on the effort of the individual MS,a novel method is proposed,which first exploits the training data collected from the advanced MS to extract the knowledge of environment,then conveys it through a nonlinear filter to the ordinary MS,and finally improves the latter's location performance.Simulation results show that it improves the location performance significantly in serious NLOS environment.
Keywords:range-difference location  non-line of sight  adaptive nonlinear filter  knowledge of environment
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