Multi-sensor Management Based on Rényi Information Gain for Maneuvering Target-Tracking

LIU Xinyi; ZHAO Cheng; SHAN Ganlin; WANG Yichuan

doi:10.13976/j.cnki.xk.2015.0184

Volume 44 Issue 2

Apr. 2015

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INFORMATION AND CONTROL > 2015 > 44(2): 184-189. > DOI: 10.13976/j.cnki.xk.2015.0184 CSTR: 32166.14.xk.2015.0184

LIU Xinyi, ZHAO Cheng, SHAN Ganlin, WANG Yichuan. Multi-sensor Management Based on Rényi Information Gain for Maneuvering Target-Tracking[J]. INFORMATION AND CONTROL, 2015, 44(2): 184-189. DOI: 10.13976/j.cnki.xk.2015.0184

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Multi-sensor Management Based on Rényi Information Gain for Maneuvering Target-Tracking

Department of Electronic and Optical Engineering, Ordnance Engineering College, Shijiazhuang 050003, China

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Received Date: May 11, 2014
Revised Date: December 24, 2014
Published Date: April 19, 2015

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Abstract

Abstract

We propose a method for multi-sensor management, based on Rényi information gain, for tracking a maneuvering 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 greater tracking accuracy and makes more effective use of sensor resources.
- multi-sensor management,
- maneuvering target tracking,
- Ré,
- nyi information gain,
- cubature Kalman filter

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Multi-sensor Management Based on Rényi Information Gain for Maneuvering Target-Tracking

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