Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (26): 83-85.DOI: 10.3778/j.issn.1002-8331.2010.26.026

• 网络、通信、安全 • Previous Articles     Next Articles

Data fusion positioning algorithm based on joint conditional probability decision of NLOS

HU Lei,ZHONG Zi-fa,KANG Kai   

  1. Department of Information,Electronic and Engineering Institute of PLA,Hefei 230037,China
  • Received:2009-11-06 Revised:2010-01-26 Online:2010-09-11 Published:2010-09-11
  • Contact: HU Lei


胡 磊,钟子发,康 凯   

  1. 解放军电子工程学院 信息系,合肥 230037
  • 通讯作者: 胡 磊

Abstract: Considering the problems of NLOS in cellular mobile location technology,a novel algorithm using the joint conditional probability of received signal strength and angle of arrival to identify NLOS measurements is proposed.Then data fusion method is incorporated to improve location precision.The conditional probability models of RSS and AOA under NLOS channel are deduced,and the flowcharts of JCPDS-RA algorithm and data fusion are introduced.Moreover,several experiments are carried out to testify the accuracy and stability of the algorithm.

Key words: Non-Line-Of-Sight(NLOS), data fusion, hybrid location, Return Signal Simulator(RSS), Angle of Arrival(AOA)

摘要: 针对蜂窝移动通信定位技术中常见的非视距传播(NLOS)问题,提出了一种利用来波信号强度和来波方位角测量值的联合条件概率判决NLOS的算法(JCPDS-RA,joint conditional probability decision scheme with RSS and AOA),并将其与数据融合定位技术相结合,提高定位精度。推导了NLOS环境下RSS和AOA的条件概率密度模型,给出了JCPDS-RA算法和数据融合流程图,并进行了仿真实验,结果表明,该算法有效地提高了定位精度并有一定的普适性。

关键词: 非视距传播, 数据融合, 混合定位, 来波信号强度, 来波方位角

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