计算机应用研究2016，Vol.33Issue(4)：1212-1215,4.DOI:10.3969/j.issn.1001-3695.2016.04.055
基于一种改进的无源目标定位算法在WSN中的研究
Research on improved passive target location algorithm in WSN
摘要
Abstract
As a new localization technology in wireless sensor,passive localization has the features of strong capacity of resis-ting disturbance and strong elusiveness.To solve the large energy consumption and long consumed time of TDOA algorithm,this paper improved the Chan algorithm in TDOA,adopted the extreme learning machine to select the optimal solution from the solu-tion set in response to multiple solution of the algorithm itself,and adopted the approximate minimum likelihood estimation method towards the optimal solution to correct the location results,which could effectively enhance the accuracy of node locali-zation and reduce errors.The simulation experiment compares the localization accuracy with updating frequency,TDOA mea-surement noise variance,the distance between nodes,and the number of collaborative nodes,the proposed algorithm can effec-tively improve the localization accuracy and have a good reference value compared with the traditional passive Chan algorithm.关键词
无源定位/无线传感/Chan/TDOAKey words
passive localization/wireless sensor/Chan/TDOA分类
信息技术与安全科学引用本文复制引用
张凤梅,邹丽..基于一种改进的无源目标定位算法在WSN中的研究[J].计算机应用研究,2016,33(4):1212-1215,4.基金项目
国家自然科学基金资助项目 （）
