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Passive Detection of Ship-Radiated Acoustic Signal Using Coherent Integration of Cross-Power Spectrum with Doppler and Time Delay Compensations

机译:具有多普勒和时间延迟补偿的交叉电力谱相干集成船辐射声信号的被动检测

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摘要

Passive sonar is widely used for target detection, identification and classification based on the target radiated acoustic signal. Under the influence of Doppler, generated by relative motion between the moving target and the sonar array, the received ship-radiated acoustic signals are non-stationary and time-varying, which has a negative effect on target detection and other fields. In order to reduce the influence of Doppler and improve the performance of target detection, a coherent integration method based on cross-power spectrum is proposed in this paper. It can be concluded that the frequency shift and phase change in the cross-power spectrum obtained by each pair of data segments can be corrected with the compensations of time scale (Doppler) factor and time delay. Moreover, the time scale factor and time delay can be estimated from the amplitude and phase of the original cross-power spectrum, respectively. Therefore, coherent integration can be implemented with the compensated cross-power spectra. Simulation and experimental data processing results show that the proposed method can provide sufficient processing gains and effectively extract the discrete spectra for the detection of moving targets.
机译:被动声纳广泛用于基于目标辐射声信号的目标检测,识别和分类。在多普勒的影响下,通过移动目标和声纳阵列之间的相对运动产生,所接收的船辐射声信号是非静止和时变的,其对目标检测和其他领域具有负面影响。为了减少多普勒的影响并提高目标检测的性能,本文提出了一种基于交叉电力谱的相干积分方法。可以得出的结论是,通过时间尺度(多普勒)因子和时间延迟的补偿,可以校正每对数据段获得的跨功率谱中的频移和相位变化。此外,可以分别从原始交叉功率谱的幅度和相位估计时间尺度因子和时间延迟。因此,可以用补偿的交叉功率谱来实现相干积分。模拟和实验数据处理结果表明,该方法可以提供足够的处理收益并有效提取用于检测移动目标的离散光谱。

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