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Cross-spectrum detector using a single acoustic vector hydrophone

机译:使用单个声学矢量水听器的跨谱检测器

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This paper aims to detect narrowband signal embedded in the noise background using a single acoustic vector hydrophone. In the isotropic noise field, processing on acoustic energy flow is the maximum likelihood ratio detector. Adopting ideas of the average power spectrum, we propose a narrowband detector based on the cross spectrum between acoustic pressure and acoustic particle velocity. Firstly, acoustic pressure and particle velocity are segmented respectively. Then different segments are averaged in the frequency domain. The real part of cross spectrum between averaged pressure and particle velocity is taken as the test statistic. According to the measurement model of vector hydrophone in the frequency domain, we can obtain the distribution characteristics of the test statistic, and further we can get receiver operating characteristic curve of the detector. The simulation and data processing results show that probability density of the test statistic is consistent with the theoretical derivation, and the detection performance of cross-spectrum detector proposed in this paper is superior than traditional average power spectrum detector.
机译:本文旨在使用单个声学矢量水听器检测嵌入在噪声背景中的窄带信号。在各向同性噪声场中,对声能流的处理是最大似然比检测器。基于平均功率谱的思想,我们提出了一种基于声压和声粒子速度之间的互谱的窄带检测器。首先,分别对声压和粒子速度进行分段。然后,将不同的段在频域中平均。平均压力和粒子速度之间的互谱的实部被用作检验统计量。根据矢量水听器在频域上的测量模型,可以得到测试统计量的分布特征,进而可以得到检波器的接收机工作特性曲线。仿真和数据处理结果表明,测试统计量的概率密度与理论推导一致,本文提出的互谱检测器的检测性能优于传统的平均功率谱检测器。

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