Target Identification Using Multiple Sensors Based on D-S Evidence Theory Characteristics
Feng Li-ji · Keji daobao · 2014
The traditional target recognition based on multi-sensor environment has two methods. On the one hand, the data obtained from the multi-sensor are used for data fusion, on the other hand the signal obtained from each sensor is used for feature fusion. The two methods both have the problem that the target recognition accuracy is not high. In order to solve this problem, this paper presents a fusion method based on D-S evidence theory. On the basis of a multi-sensor target recognition system model, D-S evidence theory is used for data fusion based on the multi-feature information of a single sensor. According to the sensor signal-noise ratios of the received signal the credibility is determined, which is taken as the weight of evidence of the weighted combination of D-S evidence theory rule to complete the target recognition. This method considers many characteristics information of the sensor and the reliability of the sensor, overcomes the defect that evidence conflict management ability is limited by the traditional D-S evidence theory.Experimental results show the correctness and validity of this method, as well as the improved accuracy of target recognition.