• Electronics Optics & Control
  • Vol. 24, Issue 2, 47 (2017)
MAO Yi-fan, ZHANG Duo-lin, and WANG Lu
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2017.02.010 Cite this Article
    MAO Yi-fan, ZHANG Duo-lin, WANG Lu. Fuzzy Theory and Evidence Combination Based Track Segment Association for Ballistic Missile in Unpowered Phase[J]. Electronics Optics & Control, 2017, 24(2): 47 Copy Citation Text show less

    Abstract

    To solve the problem that the new track can not be linked to the preceding track when the track breaks off in ballistic missile's unpowered phase, a method based on fuzzy theory and evidence combination is presented for interrupted track association.Firstly, the tracks before breaking are predicted according to missile prediction model, and those after breaking are filtered by missile filtering algorithm.The new tracks above are regarded as targets waited association, the tracks in the same time segment are regarded as association samples.Then, fuzzy processing is made to characteristic distances of sample points at the same moment from different tracks in order to obtain the association membership degrees, which can be transferred into Basic Probability Assignments (BPAs) in evidence theory, so the evidence combination result in each sample instant can be obtained.According to the combination results during a continuous time, the whole association result is obtained.The simulation results show the effectiveness of this approach.
    MAO Yi-fan, ZHANG Duo-lin, WANG Lu. Fuzzy Theory and Evidence Combination Based Track Segment Association for Ballistic Missile in Unpowered Phase[J]. Electronics Optics & Control, 2017, 24(2): 47
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