传感技术学报Issue(7)：1041-1045,5.DOI:10.3969/j.issn.1004-1699.2015.07.017
一种基于CKF的无线传感器网络分布式定位算法
A Distributed Localization Algorithm Based on Cubature Kalman Filter in Wireless Sensor Networks
余木琪 1邓平1
作者信息
- 1. 西南交通大学信息编码与传输重点实验室，成都610031
- 折叠
摘要
Abstract
To improve the localization accuracy and decrease the computation complexity,a distributed node local⁃ization algorithm based on cubature kalman filter in wireless sensor networks is proposed. The algorithm supposes that a mobile beacon moves by predetermined trajectory around a sensor field,and periodically broadcasts its cur⁃rent location. Each sensor collects the location and RSS of beacons,measures the distance between itself and the beacon,and individually calculates their locations via a Cubature Kalman Filter algorithm. Simulations show that the proposed algorithm has a good localization performance,the localization accuracy is same to the UKF algorithm, better than the MLE localization algorithm,and the computation complexity is smaller than the UKF algorithm.关键词
无线传感器网络/容积卡尔曼滤波/定位/移动锚节点Key words
WSN/CKF/localization/moving beacon引用本文复制引用
余木琪,邓平..一种基于CKF的无线传感器网络分布式定位算法[J].传感技术学报,2015,(7):1041-1045,5.
