Distributed location model and algorithm with position uncertainty  

作　　者：SHI Yu-long CUI Qi-me CAO Si-qi TAO Xiao-feng 

机构地区：[1]Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications

出　　处：《The Journal of China Universities of Posts and Telecommunications》2014年第2期48-56,共9页中国邮电高校学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(61001119);the Beijing Higher Education Young Elite Teacher Project(YETP0429);the National Hi-Tech Research and Development Program of China(2012AA01A50604)

摘　　要：The localization of multiple mobile terminals （MTs） is an encouraging paradigm of applications in wireless networks. Peer-to-peer communication between MTs facilitates the cooperative localization of multiple MTs. For sake of low complexity and high robustness, investigations often focus on the distributed algorithm in cooperative localization. However, the impact from position uncertainty of cooperative MT lacks of analysis in related works. A new distributed location model, as well as corresponding algorithm, is devised when considering both the distance measurement error and the position uncertainty of MTs, which is more judicious than the traditional model for distributed cooperative localization scenario. In addition, the performance of proposed algorithm is analyzed through Cramér-Rao lower bound （CRLB）. Simulations indicate that the algorithm outperforms traditional methods in terms of accuracy and robustness.The localization of multiple mobile terminals （MTs） is an encouraging paradigm of applications in wireless networks. Peer-to-peer communication between MTs facilitates the cooperative localization of multiple MTs. For sake of low complexity and high robustness, investigations often focus on the distributed algorithm in cooperative localization. However, the impact from position uncertainty of cooperative MT lacks of analysis in related works. A new distributed location model, as well as corresponding algorithm, is devised when considering both the distance measurement error and the position uncertainty of MTs, which is more judicious than the traditional model for distributed cooperative localization scenario. In addition, the performance of proposed algorithm is analyzed through Cramér-Rao lower bound （CRLB）. Simulations indicate that the algorithm outperforms traditional methods in terms of accuracy and robustness.

关 键 词：distributed algorithm cooperative localization position tmcertainty 

分 类 号：TN92[电子电信—通信与信息系统]