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Passive synthetic aperture sonar techniques in combination with tow ship noise canceling: application to a triplet towed array

机译:无源合成孔径声纳技术与牵引船噪声消除组合:应用于三联拖曳阵列

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An important issue in research on passive ASW operations is improvement in signal-to-noise ratio (SNR) and bearing resolution for targets emitting low frequency signals. One of the techniques believed to improve these characteristics is Synthetic Aperture Sonar (SAS). The method is based on the artificial enlargement of a sonar array by coherently integrating acoustic snapshots at different antenna positions. This paper reports on the application of passive SAS in combination with other signal-processing algorithms. The used passive SAS algorithm is the method developed by S. Stergiopoulos, known as Extended Towed Array Measurement (ETAM) or the overlap correlator. It is based on the correlation of data snapshots on overlapping hydrophones. Correlation is a key issue in this method and since it is affected by noisy targets, some gain can be expected from noise cancellation. The influence on the performance of ETAM of a method of tow ship noise canceling at hydrophone level (Inverse Beam Forming, IBF) is analyzed. This approach increases ETAM performance by removing a loud and highly correlated noise source, the tow ship, and thus enhancing the other targets in the beam pattern. Eventually the synthetic aperture is processed by means of sub-aperture beamforming and port/starboard beamforming. The details of the processing chain are described in this paper. The methods are analyzed using data recorded during ASW trials at sea with the CAPTAS (Combined Active and Passive Towed Array System) triplet array. The TNO-FEL towed source (Socrates), transmitting controlled broadband noise and tonals, as well as passing civilian ships are used as targets. The performance of the processing chain and the interactions of its different elements are analyzed through the monitoring of SNR and beamwidth. The results of the algorithms applied to these experimental data show that they bring an improvement of a factor 4 on both SNR and beamwidth in comparison with a conventional beamformer. Port/starboard discrimination and the successful combination IBF-ETAM make this approach innovative.
机译:关于被动ASW操作的研究中的一个重要问题是发射信噪比(SNR)和发射低频信号的目标的轴承分辨率的提高。据信改善这些特征的技术之一是合成孔径声纳(SAS)。该方法基于通过在不同天线位置处的声学快照相干地积分声纳阵列的人工扩大。本文报告了无源SA与其他信号处理算法的应用。二手无源SAS算法是S. Stergiopoulos开发的方法,称为扩展牵引阵列测量(ETAM)或重叠相关器。它基于数据快照对重叠流水声的相关性。相关性是这种方法中的一个关键问题,因为它受到噪声目标的影响,可以从噪声消除中预期某些增益。分析了对水平水平(逆波束形成,IBF)的牵引船噪声抵消方法的etam的影响。通过去除响亮且高度相关的噪声源,牵引船,并且因此增强光束图案中的其他目标来增加ETAM性能。最终,通过子孔径波束形成和端口/右舷波束形成处理合成孔。本文描述了处理链的细节。使用ASW试验期间与CAPAS(组合的主动和被动牵引阵列系统)三重态阵列进行分析的数据进行分析这些方法。 TNO-FEL牵引源(苏格拉底),传输受控宽带噪声和色调,以及通过平民作为目标。通过监测SNR和BeamWidth来分析处理链的性能和其不同元件的相互作用。应用于这些实验数据的算法的结果表明,与传统的波束形成器相比,它们在SNR和横束上提高了因子4。端口/右舷歧视和成功组合IBF-ETAM使这种方法创新。

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