模糊逻辑轨迹分类器

J. Karwatka
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引用次数: 0

摘要

本文提出了一种基于模糊逻辑的轨道分类器结构。航迹分类器是一种决策系统,它可以确定形成航迹的雷达探测序列是来自真实目标,还是来自产生杂波的其他物体。人工操作员容易区分真假轨迹;然而,这个过程的自动化并非微不足道。辨别真假轨迹并没有唯一的标准。一般来说,来自真实轨迹的探测序列更有规律,这意味着运动参数不会发生快速变化。“快速变化”这个词并不明显。为了确定运动参数是否快速变化,应用了模糊逻辑。术语“模糊逻辑轨迹分类器”由此而来。调查的结果非常令人鼓舞。应用该方法,误迹的数量减少了三倍以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy logic track classifier
In this paper the structure of the track classifier based on the fussy logic is presented. The track classifier is a decision system, which allows determining whether the sequence of radar detections forming a track comes from the real target, or from other objects generating clutter. Human operator easily distinguishes the real tracks from the false ones; however the automaton of this process is not trivial. There are no unique criteria for distinguishing the real and false tracks. In general, the sequence of detections coming from the real track is more regular, that means there are not rapid changes of parameters of motion. The term "rapid change" is not obvious. To determine whether the parameters of motion change rapidly, the fuzzy logic is applied. From this comes the term "fuzzy logic track classifier". The results of the investigation are very encouraging. Applying this method, the number of the false tracks has been reduced more than tree times.
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