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Localization of noise sources of moving vehicle

机译:行驶中车辆噪声源的定位

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Non-stationarity compensation followed by stationarized signal identification using probability criterion is proposed in the paper to locate sound sources of a complex moving vehicle. The paper introduces characteristic of narrow-band random process - probability to identify signal filtered in narrow band as harmonic signal. Fragments of autocorrelation functions of reference and full-scale signals are compared in terms of static fitting criterion using functions of their values distribution. Quasiharmonic component source is spotted at the object by time coherence dependence on position of assumed source. Accuracy evaluation is done for quasiharmonic signal localization in comparison with Doppler compensation method.Keywords: noise source, tonal components, localization.
机译:本文提出了非平稳补偿,然后使用概率准则进行平稳信号识别的方法,以定位复杂运动车辆的声源。本文介绍了窄带随机过程的特性-将窄带中滤波的信号识别为谐波信号的概率。参考值和满量程信号的自相关函数片段使用其值分布函数根据静态拟合标准进行比较。准谐波分量源通过时间相关性依赖于假定源的位置而被发现在对象上。与多普勒补偿法相比,对准谐波信号的定位精度进行了评估。关键词:噪声源,音调成分,定位

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