2-D Deconvolved Conventional Beamforming for a Planar Array
2-D Deconvolved Conventional Beamforming for a Planar Array
复制标题
平面阵列的二维解卷积传统波束形成
DOI：
10.1007/s00034-021-01733-6
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发表时间：
2021-05
影响因子：
2.3
通讯作者：
Du Weidong
中科院分区：
文献类型：
--
作者：
Zhou Tian;Huang Jie;Du Weidong
为了生成立体水声图像，通常采用平面阵列来采集水下三维场景的信号。这些获取的信号通常使用2-D常规波束形成方法进行处理。二维常规波束形成是鲁棒的，并且是最常用的方法。然而，2-D常规波束形成遭受胖波束和高电平旁瓣。基于信号协方差矩阵的逆的高分辨率波束形成，例如最小方差无失真响应，产生窄波束宽度和低旁瓣电平，但对信号失配敏感，并且需要许多数据快照。为了克服上述局限性，本文将二维反卷积算法应用于平面阵列的二维常规波束形成结果，以提高波束宽度，抑制高电平旁瓣。2-D去卷积波束功率产生窄波束和低旁瓣水平，而不会损害2-D传统波束形成的鲁棒性。对于各向同性噪声，二维反卷积算法比二维常规波束形成算法具有更高的输出信噪比。对矢量外推法进行了改进，使其适用于二维数据。给出了原始二维解卷积波束形成和高效二维解卷积波束形成的具体实现。仿真和实验验证了该方法的有效性。
In order to generate volumetric underwater acoustic images, planar arrays are often used to collect the signals coming from a 3-D scene in underwater environment. These acquired signals are commonly processed using the 2-D conventional beamforming method. The 2-D conventional beamforming is robust and the most commonly used method. However, the 2-D conventional beamforming suffers from fat beams and high-level sidelobes. High-resolution beamforming, based on the inverse of the signal covariance matrix, such as minimum-variance distortionless response, produces narrow beamwidth and low sidelobe levels but is sensitive to signal mismatch and requires many snapshots of data. In order to overcome the above-mentioned limitations, this paper applies a 2-D deconvolution algorithm to the 2-D conventional beamforming result of planar array in order to improve the beamwidth and suppress the high-level sidelobes. The 2-D deconvolved beam power produces narrow beams, and low sidelobe levels without compromising the robustness of 2-D conventional beamforming. The 2-D deconvolution algorithm provides higher output signal-to-noise ratio than the 2-D conventional beamforming for isotropic noise. The vector extrapolation method is improved to make it applicable on two-dimensional data. The detailed implementations of the original 2-D deconvolved beamforming and the efficient 2-D deconvolved beamforming are presented. Simulations and experiments are conducted to validate the performance of the proposed method.
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DOI：
10.1016/j.ics.2004.07.012
发表时间：
2004-10
期刊：
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影响因子：
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作者：
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DOI：
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发表时间：
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期刊：
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影响因子：
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影响因子：
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影响因子：
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作者：
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DOI：
10.1109/oceanse.2005.1511678
发表时间：
2005-06
期刊：
Europe Oceans 2005
影响因子：
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作者：
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Y. Takase;T. Anada;T. Tsuchiya;N. Endoh;N. Nakamura;T. Tukioka