NLOS无线环境中运用最优化原理的定位算法  

Optimization theory based localization algorithm in the NLOS wireless environment

作　　者：华惊宇[1,2] 郑志龙[1] 周凯[1] 仲国民[1] 江斌[2] 

机构地区：[1]浙江工业大学信息工程学院,浙江杭州310023 [2]东南大学移动通信国家重点实验室,江苏南京210096

出　　处：《浙江工业大学学报》2014年第1期93-98,共6页Journal of Zhejiang University of Technology

基　　金：浙江省科技厅基金资助项目(2012R1011-12);东南大学移动通信国家重点实验室开放课题(2010D06)的资助

摘　　要：无线定位已经成为物联网应用的重要研究内容,而非视距(NLOS)误差的存在则会显著降低传统定位算法的精度.因此提出了一种运用最优化原理的定位算法,该算法运用距离加权思想将NLOS环境中的线性位置线(LLOP)定位建模为二次规划问题,最终得到节点的最小二乘位置估计.通过性能分析,发现在基站节点数量较多或者存在视距(LOS)传输基站节点时,所提出的算法可以显著削减定位中NLOS误差的影响.计算机仿真证实了上述分析,结果表明:在NLOS环境下,所提出的算法在精度上要优于现有其他定位算法.Wireless localization has become an important issue in internet of things,but the non-line-of-sight （NLOS） error will degrade the performance of traditional localization algorithm greatly.Therefore,an optimization-based localization algorithm is put forward for wireless sensor networks.Based on distance-weighted method,the proposed algorithm models the problem of linear line of position （LLOP） in NLOS as a quadratic programming problem,and then the least squares position of the mobile node is estimated by solving this problem.Qualitative analysis indicates that the proposed algorithm can mitigate the NLOS error greatly if there are many base stations or there exist LOS base stations.Simulations confirm this conclusion,and the result shows that the proposed algorithm outperforms other algorithms in the NLOS environments.

关 键 词：无线定位 非视距误差 最优化 二次规划 

分 类 号：TN929.5[电子电信—通信与信息系统]