首页 | 本学科首页   官方微博 | 高级检索  
     

基于BP神经网络的定位跟踪算法
引用本文:毛永毅,周康磊. 基于BP神经网络的定位跟踪算法[J]. 计算机工程与应用, 2011, 47(20): 238-240. DOI: 10.3778/j.issn.1002-8331.2011.20.066
作者姓名:毛永毅  周康磊
作者单位:1.西安邮电学院 电信系,西安 710061 2.西安邮电学院 通信工程系,西安 710061
摘    要:提出了一种在NLOS环境下对移动台的定位与跟踪算法。利用BP神经网络对TDOA测量值中NLOS误差进行修正,再利用Chan算法进行移动台位置估计,配合相关检测距离门对移动台进行跟踪。仿真结果表明,该跟踪算法能够有效地实现移动台的静态定位与动态跟踪,性能优于基于Chan算法、LS算法、Taylor算法的静态定位与动态跟踪。

关 键 词:无线定位  跟踪算法  非视距传播  神经网络  
修稿时间: 

Location and tracking algorithm based on BP neural network
MAO Yongyi,ZHOU Kanglei. Location and tracking algorithm based on BP neural network[J]. Computer Engineering and Applications, 2011, 47(20): 238-240. DOI: 10.3778/j.issn.1002-8331.2011.20.066
Authors:MAO Yongyi  ZHOU Kanglei
Affiliation:1.Department of Electronic and Information,Xi’an University of Post and Telecommunications,Xi’an 710061,China 2.Department of Communication Engineering,Xi’an University of Post and Telecommunications,Xi’an 710061,China
Abstract:A location and tracking algorithm with NLOS(Non-Line Of Sight) errors for MS(Mobile Station) is proposed in this paper.The algorithm is able to correct the NLOS errors using BP(Back Propagation) neural network on TDOA(Time Diffence Of Arrive) measurements.The positions of MS can be estimated by Chan's algorithm.Cooperating correlation detection gate,the MS is tracked by the algorithm.The simulation results show that the algorithm performance is better than others not only in the static state but also in the dynamic state.
Keywords:wireless location  tracking algorithm  Non-Line Of Sight (NLOS)  neural network
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号