A method of maneuvering target collaboration tracking based on Rényi information gain

被引：0

作者：

Liu, Qin ^{[1
]}

Liu, Zheng ^{[1
]}

机构：

[1] National Lab. of Radar Signal Processing, Xidian University, Xi'an 710071, China

来源：

Kongzhi yu Juece/Control and Decision | 2012年 / 27卷 / 09期

关键词：

Information theory - Signal filtering and prediction;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Focusing on the dynamic tracking problem in sensor networks, a maneuvering target collaboration tracking method based on Rényi information gain is proposed. Firstly, the particle filtering algorithm is applied to obtain the Rényi information gain of each sensor. Then, the sensor is selected according to the maximal Rényi information gain. Moreover, the kinematics state of the maneuvering target is estimated by interacting multiple model method. Simulation results show that the proposed method can achieve the desired tracking accuracy compared with traditional methods in a nonlinear non-Gaussian system.

引用

页码：1437 / 1440