A novel target-tracking optimization algorithm in 3D wireless sensor networks

被引：0

作者：

Liu, Xiaoshuang ^{[1
,2
]}

Kang, Guixia ^{[2
]}

Zhang, Ningbo ^{[2
]}

Zhang, Rui ^{[2
]}

机构：

[1] College of Information Technology, Hebei University of Economics and Business, Shijiazhuang

[2] Beijing University of Posts and Telecommunications, Beijing

来源：

Journal of Computational Information Systems | 2015年 / 11卷 / 16期

基金：

中国国家自然科学基金;

关键词：

Fisher information matrix; Kalman filter; Target tracking; Wireless sensor networks;

D O I：

10.12733/jcis14694

中图分类号：

学科分类号：

摘要：

The target tracking problem in three-dimensional wireless sensor networks (3D WSNs) with the consideration of additive and multiplicative noises (AMN) is investigated, which is different from most previous studies. In this paper. Firstly, we put this target tracking problem as an optimization problem by the problem analysis. According to the characteristics of the objective function, both the number of variables and search space of this problem are reduced. Based on a standard Kalman filter, an optimal tracking algorithm is proposed to avoid the instability problem and maximize the tracking accuracy. The advantages of the proposed algorithm are demonstrated via simulation results. © 2015 by Binary Information Press

引用

页码：5743 / 5750

页数：7