Sensor management based on fisher information gain

doi:10.1016/S1004-4132(06)60091-1

Journal of Systems Engineering and Electronics ›› 2006, Vol. 17 ›› Issue (3): 531-534.doi: 10.1016/S1004-4132(06)60091-1

出版日期:2006-09-25 发布日期:2006-09-25

Sensor management based on fisher information gain

Tian Kangsheng1 2 & Zhu Guangxi1

1. Dept of Telecommunication Engineering, Huazhong Univ. of Science &- Technology »Wuhan 430074, P. R China;

2. Dept of Command Automation Engineering, Airforce Radar Academy, Wuhan 430019, P. R China

Online:2006-09-25 Published:2006-09-25

摘要/Abstract

Abstract:

Multi-sensor system is becoming increasingly important in a variety of military and civilian applications.

In general, single sensor system can only provide partial information about environment while multi-sensor system

provides a synergistic effect, which improves the quality and availability of informatioa Data fusion techniques can

effectively combine this environmental information from similar and/or dissimilar sensors. Sensor management, aiming at improving data fusion performance by controlling sensor behavior, plays an important role in a data fusion

process. This paper presents a method using fisher information gain based sensor effectiveness metric for sensor assignment in multi-sensor and multi-target tracking applications. The fisher information gain is computed for every

sensor-target pairing on each scan. The advantage for this metric over other ones is that the fisher information gain

for the target obtained by multi-sensors is equal to the sum of ones obtained by the individual sensor, so standard

transportation problem formulation can be used to solve this problem without importing the concept of pseudo sensor. The simulation results show the effectiveness of the method.

Key words:

data fusion, sensor management, fisher information gain, linear programming

. [J]. Journal of Systems Engineering and Electronics, 2006, 17(3): 531-534.

Tian Kangsheng & Zhu Guangxi.

Sensor management based on fisher information gain

[J]. Journal of Systems Engineering and Electronics, 2006, 17(3): 531-534.

Sensor management based on fisher information gain

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