信息与控制Issue(2)：184-189,6.DOI:10.13976/j.cnki.xk.2015.0184
面向目标跟踪的基于Rényi信息增量多的传感器管理
Multi-sensor Management Based on Rényi Information Gain for Maneuvering Target-Tracking
刘欣怡 1赵诚 1单甘霖 1王一川1
作者信息
- 1. 军械工程学院电子与光学工程系，河北 石家庄 050003
- 折叠
摘要
Abstract
We propose a method for multi-sensor management,based on Rényi information gain,for tracking a ma-neuvering target.An interacting multiple model-cubature Kalman filter (IMM-CKF)algorithm is applied to obtain the maneuvering target′s location estimation and the Rényi information gain of each sensor for the Gaussian non-linear system.A multi-sensor management model is established to select sensors according to their maximal system effectiveness,based on the estimated location of the maneuvering target.The simulation results show that,when compare with the Shannon entropy-based method,our proposed method achieves grea-ter tracking accuracy and makes more effective use of sensor resources.关键词
多传感器管理/机动目标跟踪/Rényi信息增量/容积卡尔曼滤波Key words
multi-sensor management/maneuvering target tracking/Rényi information gain/cubature Kalman filter分类
信息技术与安全科学引用本文复制引用
刘欣怡,赵诚,单甘霖,王一川..面向目标跟踪的基于Rényi信息增量多的传感器管理[J].信息与控制,2015,(2):184-189,6.
