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Bispectrum and reconstruction of modulation signal extracted from ship—radiated noise

机译:从船舶辐射噪声中提取的双谱和调制信号的重构

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The ship radiated noise is analyzed by higher-order spectra, which preserve the phase characteristics of signals. Phase information is suppressed in power spectrum and double frequency power spectrum. Bispectrum analysis on ship noise's modulation signal reveals that the phase relationships among the harmonics of periodical envelope is regular. Because phase value's sharp change near the peaks stands for the harmonics in frequency domain, to find the exact phase value of the peak is difficult. So interpolation in frequency domain is needed. After interpolation, there are more points in the narrow band at the peak, phase value's change becomes more smooth, and the peak's exact phase value can be obtained which meets our requirement for it's precision. From the amplitude and the phase of these harmonics, the periodical components of the envelope can be reconstructed, which can be called "Signature" of the ship noise. The signature can be used to recognize ships. Results of the analysis of real data show that this method is useful. One important discovery of our experiments is that the envelope signals in all subbands of the ship-radiated noise are alike very much. This phenomenon can be utilized to developed a new approach of passive localization. It is a general knowledge that the sound wave of different frequency propagates in shallow water at different group velocity. Ship noise's components in different subbands arrive the receiver at different time. The time delay can be obtained from the correlation function between the envelopes of the two components. The time delay reflects the distance between the source and the receiver. One advantage of this approach over the traditional is that only one sensor is needed instead of three.
机译:船舶辐射噪声通过高阶频谱进行分析,从而保留了信号的相位特性。在功率谱和双频功率谱中抑制相位信息。船舶噪声调制信号的双谱分析表明,周期包络谐波之间的相位关系是规则的。由于峰值附近相位值的急剧变化代表频域中的谐波,因此很难找到峰值的确切相位值。因此需要在频域内插。插值后,在峰值处的窄带中有更多点,相位值的变化变得更加平滑,并且可以获得峰值的精确相位值,这满足了我们对精度的要求。根据这些谐波的幅度和相位,可以重建包络线的周期性分量,这可以称为船舶噪声的“签名”。签名可用于识别船只。实际数据分析结果表明该方法是有用的。我们的实验的一项重要发现是,舰船辐射噪声的所有子带中的包络信号非常相似。这种现象可以用来开发一种被动定位的新方法。众所周知,不同频率的声波在浅水中以不同的群速度传播。不同子带中的船舶噪声成分在不同时间到达接收器。可以从两个分量的包络之间的相关函数获得时间延迟。时间延迟反映了源与接收器之间的距离。与传统方法相比,此方法的一个优势是仅需要一个传感器,而不是三个。

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