Noise induced by incipient-propeller tip vortex cavitation (TVC) has a few sources near the propeller tips, which radiate a broadband signal. This article describes a compressive sensing (CS)-based TVC localization technique for coherent multiple-frequency processing, which jointly processes the measured data at multiple frequencies. Block-sparse CS, which groups several single-frequency measurements into blocks, is adopted for coherent multiple-frequency processing. The coherent multiple-frequency processing improves localization performance over that of single-frequency processing. Unlike single-frequency processing using conventional CS, which combines independent single-frequency measurement treatments by averaging, coherent multiple-frequency processing produces accurate localization without requiring a sufficient number of treated frequencies, long-time-sampled data with a time-invariant signal assumption, or even a single cavitation event. The approach is demonstrated on experimental data from a transducer source experiment and a cavitation source experiment.

中文翻译：

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使用块稀疏压缩感测的初始尖端涡流空化定位。

初始螺旋桨叶尖涡流空化（TVC）引起的噪声在螺旋桨叶尖附近有一些辐射源，它们辐射宽带信号。本文介绍了一种用于相干多频处理的基于压缩感知（CS）的TVC定位技术，该技术可共同处理多个频率的测量数据。采用块稀疏CS，将几个单频测量结果分组为块，用于相干多频处理。相干多频处理比单频处理提高了定位性能。与使用常规CS的单频处理不同，该处理通过平均来组合独立的单频测量处理，相干多频处理可产生精确的定位，而无需足够数量的已处理频率，具有时不变信号假设的长时间采样数据，甚至不需要单个气蚀事件。在来自换能器源实验和空化源实验的实验数据上证明了该方法。