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Programming Fusion Algorithm for Submarine Target Recognition
LIU Biao, XU Teng, LIU Shu-feng
Modern Defense Technology    2018, 46 (6): 64-67.   DOI: 10.3969/j.issn.1009-086x.2018.06.010
Abstract235)      PDF (555KB)(986)       Save
Multi sensor data fusion has become one of the critical technologies for submarine target recognition. Based on the sensor report, brings forward a programming fusion algorithm for submarine target recognition, and gives an example for illustration. The optimized solution is obtained from the lingo software. The algorithm makes the recognition more accurate and more reliable.
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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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