A Fast Global Node Selection Algorithm for Bearings-only Target Localization
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 bound 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.
作 者： Rui Liyang Xu Zhen 作者单位： School of Electronics and Information Engineering, Beifing University of Aeronautics and Astronautics, Beijing 100083, China 刊 名： 中国航空学报（英文版） ISTIC 英文刊名： CHINESE JOURNAL OF AERONAUTICS 年，卷(期)： 2008 21(1) 分类号： V2 关键词： distributed wireless sensor network direction of arrival extended Kalman filter node selection