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Smart Ocean: A New Fast Deconvolved Beamforming Algorithm for Multibeam Sonar

机译:Smart Ocean:用于多波束声纳的新型快速解卷积波束形成算法

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摘要

A new fast deconvolved beamforming algorithm is proposed in this paper, and it can greatly reduce the computation complexity of the original Richardson–Lucy (R–L algorithm) deconvolution algorithm by utilizing the convolution theorem and the fast Fourier transform technique. This algorithm makes it possible for real-time high-resolution beamforming in a multibeam sonar system. This paper applies the new fast deconvolved beamforming algorithm to a high-frequency multibeam sonar system to obtain a high bearing resolution and low side lobe. In the sounding mode, it restrains the tunnel effect and makes the topographic survey more accurate. In the 2D acoustic image mode, it can obtain clear images, more details, and can better distinguish two close targets. Detailed implementation methods of the fast deconvolved beamforming are given, its computational complexity is analyzed, and its performance is evaluated with simulated and real data.
机译:本文提出了一种新的快速反卷积波束形成算法,利用卷积定理和快速傅立叶变换技术可以大大降低原始的理查森-露西(RL算法)反卷积算法的计算复杂度。该算法使多波束声纳系统中的实时高分辨率波束形成成为可能。本文将新的快速解卷积波束形成算法应用于高频多波束声纳系统,以获得较高的方位分辨率和较低的旁瓣。在探测模式下,它可以抑制隧道效应并使地形测量更加准确。在2D声像模式下,它可以获得清晰的图像,更多细节,并且可以更好地区分两个近距离目标。给出了快速解卷积波束成形的详细实现方法,分析了其计算复杂度,并利用模拟和真实数据评估了其性能。

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