| Citation: | ZHOU Weidong, LIU Lu, TANG Jiaet al. Interactive multiple model filtering algorithm based on fuzzy logic[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(3): 413-419. doi: 10.13700/j.bh.1001-5965.2017.0160(in Chinese)
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The convergence speed and the filtering precision are poor when the interactive multiple model (IMM) filtering algorithm is applied to track the anti-ship missile in S maneuver. Thus a fuzzy logic interactive multiple model (FLIMM) filtering algorithm is proposed by improving the model probability updating module of IMM filtering algorithm in three-dimensional space. Taking relative distance and angle of sight as observation information, the algorithm assumes that the target moves in two modes:uniform motion in a straight line and S maneuver. The simulation shows that the proposed algorithm can improve the convergence speed effectively and achieve higher tracking accuracy.
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