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Vibratory Source Localization Study of Multiple-sensors Based on the Characteristic Parameters Judgement

机译：基于特征参数判断的多传感器振动源定位研究

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摘要

In the use of searching algorithms for the vibration target position detection, due to the complexity of the work environment and frequency of interference sources, the measure consistency is poor, even the gross error and frequent of gross time delay error are increased at the same time. The emergence of gross error seriously affects the accuracy and convergence rate of search algorithm. In order to solve this problem, this paper puts forward the positioning searching algorithm which based on gross time delay error gray judgement and Taylor's series expansion localization algorithm. The algorithm determines the reliability of each sensor according to the vibration signal characteristic parameters. The gross time delay error gray judgement rule is used to eliminate the gross time delay error. Finally the Taylor's series iteration searching method is used to determine the source location. Experiment results show that this method can effectively improve the search speed, positioning accuracy and anti-interference ability of the vibration source.
机译：在使用搜索算法进行振动目标位置检测时，由于工作环境的复杂性和干扰源的频率，使得测量一致性差，甚至同时增加了总误差和总延时误差的频率。严重错误的出现严重影响了搜索算法的准确性和收敛速度。为了解决这个问题，本文提出了基于总时延误差灰色判别和泰勒级数展开定位算法的定位搜索算法。该算法根据振动信号特征参数确定每个传感器的可靠性。总时延误差灰色判断规则用于消除总时延误差。最后，使用泰勒级数迭代搜索方法确定源位置。实验结果表明，该方法可以有效提高振动源的搜索速度，定位精度和抗干扰能力。

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