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无线传感网中NLoS环境下的ToA/AoA改进混合定位算法(英文)

Improved Hybrid ToA/AoA Location Algorithm in NLoS Environments for Wireless Sensor Networks

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【Author】 Zhao Junhui1,2,3,Zhao Cong2,3 1School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044,P.R.China 2State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications,Beijing 100876,P.R.China 3National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096,P.R.China

【机构】 School of Electronic and Information Engineering, Beijing Jiaotong University； State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications； National Mobile Communications Research Laboratory, Southeast University；

【摘要】 An improved hybrid Time of Arrival (ToA)/ Angle of Arrival (AoA) location algorithm by adopting Gauss-Newton iterative algorithm is proposed. It is with the advantage of fast convergence and combining with the grid-search-based method to optimize the initial object coordinates of the iteration, meanwhile, under the condition of small measurement errors caused by noises of ToA and AoA, the algorithm performance can be improved effectively. In the Non-Line-of-Sight (NLoS) environments of the Wireless Sensor Network (WSN), simulation results show that improved accuracy is gained with moderate flexibility and fast steady convergence compared with the existing algorithms.更多还原

【Abstract】 An improved hybrid Time of Arrival (ToA)/ Angle of Arrival (AoA) location algorithm by adopting Gauss-Newton iterative algorithm is proposed. It is with the advantage of fast convergence and combining with the grid-search-based method to optimize the initial object coordinates of the iteration, meanwhile, under the condition of small measurement errors caused by noises of ToA and AoA, the algorithm performance can be improved effectively. In the Non-Line-of-Sight (NLoS) environments of the Wireless Sensor Network (WSN), simulation results show that improved accuracy is gained with moderate flexibility and fast steady convergence compared with the existing algorithms.更多还原

【关键词】 WSN； location technique； Gauss-Newton algorithm； grid search； NLoS； ToA； AoA；
【Key words】 WSN； location technique； Gauss-Newton algorithm； grid search； NLoS； ToA； AoA；

【基金】 supported by National Natural Science Foundation of China under Grant No.61172073;State Key Laboratory of Networking and Switching Technology (Beijing Universityof Posts and Telecommunications) under Grant No.SKLNST-2009-1-09;Open Research Fund of National Mobile Communications Research Laboratory, Southeast University, P. R.China;China Fundamental Research Funds for the Central Universities:Beijing Jiaotong University

【文献出处】中国通信 ,China Communications , 编辑部邮箱 ,2011年08期

【分类号】TN929.5;TP212.9
【被引频次】16
【下载频次】146

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