[1]王帆,柯炜.一种基于RBF神经网络辅助的直接定位新方法[J].南京师范大学学报(工程技术版),2011,11(02):079-83.
　Wang Fan,Ke Wei.A New Method of Direct Position Determination Based on RBF Neural Network[J].Journal of Nanjing Normal University(Engineering and Technology),2011,11(02):079-83.
点击复制

一种基于RBF神经网络辅助的直接定位新方法
分享到：

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
11卷
期数:
2011年02期
页码:
079-83
栏目:
出版日期:
2011-04-09

文章信息/Info

Title:
A New Method of Direct Position Determination Based on RBF Neural Network
作者:
王帆;柯炜;
南京师范大学物理科学与技术学院，江苏南京210046
Author(s):
Wang Fan; Ke Wei
School of Physical Science and Technology,Nanjing Normal University,Nanjing 210046,China
关键词:
直接定位; RBF 神经网络; 接收信号强度
Keywords:
direct position determination; RBF neural network;  received signal strength
分类号:
TN929.5
摘要:
针对现有直接定位DPD方法在建模时忽略了基站到定位中心的信道影响问题,提出以移动台为定位中心直接解算基站回传信号中包含的位置信息的方法.该方法事先将整个区域划分成若干个规则小区,在信号回传时利用RBF神经网络建立接收信号强度与位置之间的映射关系,先判定移动台所处小区的标号,然后在此小区内进行直接定位搜索,可以大大节省搜索时间.仿真结果表明,该方法的定位精度优于传统DPD定位方法,在低信噪比时,改善尤其明显.
Abstract:
Due to the fact that the existing method of Direct Position Determination ( DPD) ignored the channel impact from base stations to the location center，this paper takes the mobile station as the location center to get the location information contained in the signal transmitted by base stations． When the signal returns，the mapping relationship between the received signal strength and the location can be built with RBF neural network． This approach recognizes the label of several regular areas divided in advance，and then conducts a DPD search in this small area in which the mobile station locates． In this way the search time can be greatly reduced． Simulation results show that the accuracy of this method is superior to the conventional DPD method，and that especially，the improvement is particularly evident in the condition of low SNR．

参考文献/References:

［1］范平志，邓平，刘林． 蜂窝网无线定位［M］． 北京: 电子工业出版社，2002． Fan Zhiping，Deng Ping，Liu Lin． Cellular Wireless Location［M］． Beijing: Electronics Industry Press， 2002． ( in Chinese)
［2］Sayed Ali H，Tarighat Alireza，Khajehnouri Nima． Network-based wireless location: challenges faced in developing techniques for accurate wireless location information［J］． IEEE Signal Processing Magazine， 2005，22( 4) : 24-40．
［3］Gezici S． A survey on wireless position estimation［J］． Wireless Personal Communications， 2008， 44( 3) : 263-282．
［4］Chan Y T，Ho K C． A simple and efficient estimator for hyperbolic location［J］． IEEE Transactions on Signal Processing， 1994， 42( 8) : 1 905-1 915．
［5］Oispuu M，Nickel U． Direct detection and position determination of multiple sources with intermittent emission［J］． Signal Processing， 2010， 90( 12) : 3 056-3 064．
［6］Weiss A J． Direct position determination of narrowband radio frequency transmitters［J］． IEEE Signal Processing Letters， 2004，11( 5) : 513-516．
［7］樊昌信，曹丽娜． 通信原理［M］． 北京: 国防工业出版社，2005． Fan Changxin，Cao Lina． Communication Theory［M］． Beijing: National Defense Industry Press，2005． ( in Chinese)
［8］李莉，肖丽华，王华芝． 天线方向性对MIMO 系统信道容量影响［J］． 北京邮电大学学报: 自然科学版， 2008，31( 6) : 117-120． Li Li，Xiao Lihua，Wang Huazhi． Effect of antenna directivity on the channel capacity of MIMO systems［J］． Journal of Beijing University of Posts and Telecommunications: Natural Science Edition，2008，31( 6) : 117-120． ( in Chinese)
［9］Takenga Claude，Chen Xi，Kyandoghere Kyamakya． A hybrid neural network-data base correlation positioning in GSM network ［C］/ /10th IEEE Singapore International Conference on Communication systems ( ICCS 2006) ． Singapore: IEEE Press， 2006: 1-5．
［10］Mao K Z，Huang Guangbin． Neuron selection for RBF neural network classifier based on data structure preserving criterion ［J］． IEEE Transactions on Neural Networks，2005，16( 6) : 1531-1540．
［11］Xu Jun，Shen Xuemin，Mark Jon W，et al． Mobile location estimation for DS-CDMA systems using self-organizing maps［J］． Wireless Communications and Mobile Computing，2007，7: 285-298．
［12］闻新，周露，李翔，等． MATLAB 神经网络仿真与应用［M］． 北京: 科学出版社， 2003． Wen Xin，Zhou Lu，Li Xiang，et al． Neural Network Simulation and Application Using MATLAB［M］． Beijing: Science Press，2003．

备注/Memo

备注/Memo:
基金项目: 江苏省普通高校自然科学研究计划( 10KJB510008) ．通讯联系人: 柯炜，讲师，研究方向: 通信信号处理，无线定位等． E-mail: : kewei@ njnu． edu． Cn
更新日期/Last Update: 2013-03-21