Smart Ocean: A New Fast Deconvolved Beamforming Algorithm for Multibeam Sonar
Smart Ocean: A New Fast Deconvolved Beamforming Algorithm for Multibeam Sonar
复制标题
智能海洋：一种新的多波束声纳快速解卷积波束形成算法
DOI：
10.3390/s18114013
复制
发表时间：
2018-11-01
期刊：
影响因子：
3.9
通讯作者：
Zhang, Wanyuan
中科院分区：
文献类型：
--
作者：
Huang, Jie;Zhou, Tian;Zhang, Wanyuan
提出了一种新的快速解卷积波束形成算法，该算法利用卷积定理和快速傅立叶变换技术，大大降低了原R-L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波束形成成为可能。本文将新的快速去卷积波束形成算法应用于高频多波束声纳系统，以获得高方位分辨率和低旁瓣。在测深模式中，它抑制了隧道效应，使地形测量更加准确。在二维声成像模式下，可以获得清晰的图像，更多的细节，更好地区分两个近距离的目标。给出了快速去卷积波束形成的具体实现方法，分析了其计算复杂度，并用仿真和实际数据对其性能进行了评估。
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.