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Algorithm Improvement of D-S Evidence Theory in Submarine Target Recognition
LIU Biao, XU Teng, LI Guang
Modern Defense Technology    2018, 46 (1): 120-124.   DOI: 10.3969/j.issn.1009-086x.2018.01.019
Abstract4437)            Save
D-S evidence theory is widely used in target recognition. It is an effective method of multi-sensor data fusion. However, it involves counter-intuitive behaviors when the high conflict information exists. In view of the problem, the reliability of sensor is introduced and the new algorithm is proposed. The algorithm makes up for the shortcomings of D-S evidence theory, and has better fusion effect than other improved algorithms. The algorithm is applied in submarine target recognition and the calculation result indicates that the algorithm is effective and correct.
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