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Vol. 156, Issue 9, September 2013, pp. 130-135

 

Bullet

 

Multi-sensor Target Recognition Based on VIKOR
 
1 Haiping REN, 2 Lianwu YANG

1 School of Software, Jiangxi University of Science and Technology, 330013, P. R. China

2 School of Mathematics and Computer Science, Yichun University, Yichun 330060, P. R. China

1 Tel.: 15979014223

1 E-mail: chinarhp@163.com

 

Received: 1 June 2013   /Accepted: 25 August 2013   /Published: 30 September 2013

Digital Sensors and Sensor Sysstems

 

Abstract: Aiming at the target recognition problem of multi-sensor with multiple characteristic indexes, a new fusion method is proposed. The method firstly substitutes the distance of confidence for the ordinary attribute values, and the weights of attributes are derived by solving the optimal programming of maximizing the total square deviation of the confidence distance for all attributes. Then according to the basic ideology of traditional VIKOR method, the rule of target recognition is given. The method may avoid the subjectivity of the weight of characteristic indexes and improve the objectivity and accuracy of target recognition. Numerical simulation illustrates the effectiveness and exercisable of the proposed method.

 

Keywords: Multi-sensor, Data fusion, Target recognition, VIKOR.

 

 

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