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Underwater Acoustic Imaging with a Novel Array and High Resolution Processing

机译:具有新型阵列和高分辨率处理的水下声成像

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Considering underwater vehicles automatic target recognition (ATR), this paper presented an underwater acoustic imaging scheme with high resolutions of both azimuth and range. A novel sparse acoustic array, which consisted of two uniform arrays with the same equivalent acoustic center but respectively with different aperture and element spacing, were proposed to greatly decrease array elements and reduce hardware complexity. Simultaneously, the beamforming processing algorithm corresponding with the array was put forward to improve array directivity and beam performance based on array signal processing. Then, underwater acoustic imaging was developed with preformed dense narrow beams and each beam high range resolution processing of wideband signal correlation. Target information of all narrow beams at each range unit constituted azimuth and range distribution image of the whole target. Numerous computer simulations and experiments were carried out to demonstrate the theoretical conclusions. All the results of the simulations and experiments indicated that underwater acoustic imaging with the novel sparse array and high resolution processing was effective and feasible. Consequently, it provided a reference to engineering applications.
机译:考虑到水下航行器的自动目标识别(ATR),本文提出了一种具有方位角和范围高分辨率的水下声成像方案。提出了一种新颖的稀疏声阵列,它由两个具有相同等效声心但分别具有不同孔径和单元间距的均匀阵列组成,以大大减少阵列单元并降低硬件复杂性。同时,提出了与阵列相对应的波束成形处理算法,以提高阵列方向性和基于阵列信号处理的波束性能。然后,利用预先形成的密集窄束和宽带信号相关性的每束高范围分辨率处理技术开发了水下声成像技术。每个测距单元的所有窄波束的目标信息构成整个目标的方位角和范围分布图像。进行了大量的计算机模拟和实验以证明理论结论。仿真和实验的所有结果表明,采用新型稀疏阵列和高分辨率处理的水下声成像是有效和可行的。因此,它为工程应用提供了参考。

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