计算机工程2012，Vol.38Issue(19)：6-9,4.DOI:10.3969/j.issn.1000-3428.2012.19.002
基于BP神经网络的混合定位算法
Hybrid Localization Algorithm Based on BP Neural Network
摘要
Abstract
In order to make up for the disadvantages of GPS or base station inability of localization for Mobile Station(MS) respectively and eliminate the influence of non line-of-sight spreading, a kind of hybrid localization algorithm based on BP neural network is proposed. Non Line of SightfNLOS) error in the measured value Time Difference of Arrival(TDOA) and GPS is corrected by using BP neural network, TDOA/GPS location algorithm is used for localization. Simulation results show that the proposed algorithm can effectively achieve the mobile localization while using TDOA or GPS alone can not achieve.关键词
无线定位/定位算法/神经网络/非视距传播/到达时间差Key words
wireless localization/ localization algorithm/ neural network/ Non Line of SightfNLOS) spreading/ Time Difference of Arrival(TDOA)分类
信息技术与安全科学引用本文复制引用
毛永毅,张宏君,李成..基于BP神经网络的混合定位算法[J].计算机工程,2012,38(19):6-9,4.基金项目
陕西省自然科学基金资助项目(2009JM8015) （2009JM8015）
陕西省教育厅科研基金资助项目(2010JK815) （2010JK815）
