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Maneuvering Frequency Adaptive Algorithm of Maneuvering Target Tracking

机译:机动频率自适应算法机动目标跟踪

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The current statistical model is one of most effective method for maneuvering target tracking. It's the mean acceleration model and it reflects the variation of target's maneuvering rang and the intensity more practically. However, the frequency of maneuvering α, which represents the variation of target maneuvering, needs to be predefined and it won't be changed with the targets maneuvering. That makes the effect of tracking system drop dramatically. Based on analysis on kinetic characteristic of target, a maneuvering frequency adaptive algorithm was proposed. The model of maneuvering frequency was built and the parameter α was adjusted adaptively with maneuvering. At last, the simulation results prove this algorithm effectiveness and efficiency.
机译:当前的统计模型是用于操纵目标跟踪的最有效的方法之一。这是平均加速度模型,它反映了目标机动响起的变化,并且更实际地更换了强度。然而,需要预定义目标机动变化的机动α的频率,并且不会随目标操纵而改变。这使得跟踪系统的效果急剧下降。基于分析目标的动力学特性,提出了一种机动频率自适应算法。建立了机动频率模型,并以机动自适应地调整了参数α。最后,仿真结果证明了这种算法的有效性和效率。

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