A Fast Global Node Selection Algorithm for Bearings-only Target Localization  

基于被动定位的无线传感器网络分布的全局快速选择算法(英文)

作　　者：芮立扬[1] 

机构地区：[1]北京航空航天大学电子信息工程学院

出　　处：《Chinese Journal of Aeronautics》2008年第1期61-70,共10页中国航空学报（英文版）

基　　金：National Natural Science Foundation of China(60532030);National Basic Research Program of China(973-61361);National Science Fund for Distinguished Young Scholars(60625102)

摘　　要：In the target tracking, the nodes aggregate their observations of the directions of arrival of the target. The network then uses an extended Kalman filter （EKF） to combine the measurements from multiple snapshots to track the target. In order to rapidly select the best subset of nodes to localize the target with the minimum mean square position error and low power consumption, this paper proposes a simple algorithm, which uses the location information of the target and the network. The lower botmd of localization error is utilized according to the distances between the target and the selected active nodes. Furthermore, the direction likelihoods of the active nodes is predicted by way of the node/target bearing distributing relationships.In the target tracking, the nodes aggregate their observations of the directions of arrival of the target. The network then uses an extended Kalman filter （EKF） to combine the measurements from multiple snapshots to track the target. In order to rapidly select the best subset of nodes to localize the target with the minimum mean square position error and low power consumption, this paper proposes a simple algorithm, which uses the location information of the target and the network. The lower botmd of localization error is utilized according to the distances between the target and the selected active nodes. Furthermore, the direction likelihoods of the active nodes is predicted by way of the node/target bearing distributing relationships.

关 键 词：distributed wireless sensor network direction of arrival extended Kalman filter node selection 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]