基于非均匀粒度聚类的电子目标多传感器识别

The Research on Electronic Target Recognition with Multi-sensor Based on Uneven Granularity Clustering

在对电子目标进行识别时,一般采取多传感器融合的D-S证据理论,但是在实际应用中,证据理论存在不同证据冲突的问题。针对此问题,将证据转化成欧氏空间中的点,证据之间的冲突程度转化成距离,对证据进行聚类,用经过聚类后的证据来实现电子目标多传感器融合识别。仿真实验的结果证实了该方法的有效性和实用性。

When recognizing the electronic targets,the theory of D- S evidence with syncretic multi-sensor is usually applied. But in fact,the problem of evidence conflict in D- S theory always exists. For this problem,evidence is transformed to a point in Euclidean space first in this paper,the conflict degree between evidences is transformed to distance,and then the evidence clustering is done according to the distances,the evidence after clustering is used to realize multi-sensor electronic target recognition lastly. Simulation test and its results show that this method is effective and practical.