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Weighted Distance-Based M/N Track Initiation Methods for Wireless Sensor Networks in Clutter

机译:杂波无线传感器网络中基于加权的基于距离的M / N跟踪发起方法

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摘要

This paper aims at improving the performance of the track initiation process of a target tracking system in cluttered environments via weighted distance-based M out of N{M/N) track initiation methods. In the generic M/N method, the consecutive detections inside the validation gate are considered with identical weights (M is increased by one) regardless of the location of the detection. However, if the newly detected observations in the validation gate are away from the center of the predicted target position, the observations may not come from a real target, the origin of the measurement may be the clutter. Thus, the initiation counter weight of the observation should be adjusted according to the distance measure while utilizing the M/N method for the track initiation decision. We envisage different weighting schemes to determine the initiation counter weighting value. Consequently, the elliptical weighting scheme in M/N track initiation method shows promising results for cluttered environments in terms of decreasing the false track initiations while sustaining an admissible level of true track initiations.
机译:本文旨在通过在N {M / N)个跟踪起始方法中基于加权距离的M来改善杂乱环境中目标跟踪系统的跟踪起始过程的性能。在通用M / N方法中,验证门内的连续检测被认为具有相同的权重(M增加一),而与检测的位置无关。但是,如果在验证门中新近检测到的观测值远离预测目标位置的中心,则观测值可能不是来自真实目标,则测量的起点可能会很杂乱。因此,在利用M / N方法进行轨道起始决策时,应根据距离测量值来调整观察的起始配重。我们设想了不同的加权方案来确定初始计数器加权值。因此,M / N磁道起始方法中的椭圆加权方案在减少虚假磁道起始量的同时保持真实磁道起始量的可接受水平方面显示出了对杂乱环境有希望的结果。

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