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Multi-sensor Target Recognition Based on VIKOR

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. Copyright © 2013 IFSA.