传统的水声阵列波束形成方法在非声源方向存在旁瓣，直接影响目标的检测精度。本文针对波束形成中旁瓣抑制问题，在常规波束形成中引入反卷积算法，提出一种基于反卷积的高方位分辨算法。将常规波束形成作为一个线性系统，由均匀线阵的波束指向性出发，利用Richardson-Lucy迭代求解点声源散射函数，以常规波束形成输出结果作为系统的输入，与声源点散射函数相卷积，抑制阵列指向性函数对输出的影响，缩窄主瓣，抑制旁瓣。在此基础上给出纯净目标辐射噪声的提取方法，归纳总结算法流程。仿真结果表明，反卷积波束形成算法能够实现多目标的调制谱分离，具有更优的多目标角度分辨力，有效提高目标检测性能。
The traditional underwater acoustic array beamforming method has sidelobe in the direction of non sound source, which directly affects the detection accuracy of the target. In this paper, a high-resolution deconvolution beamforming algorithm is proposed by combining the deconvolution algorithm with beamforming to solve the sidelobe suppression problem in beamforming. Taking conventional beamforming as a linear system, starting from the beam directivity of uniform linear array, the point source scattering function is solved by Richardson Lucy iteration. The output result of conventional beamforming is taken as the input of the system and convolved with the sound source point scattering function to suppress the influence of array directivity function on the output, narrow the main lobe and suppress the side lobe. On this basis, the extraction method of pure target radiated noise is given, and the algorithm flow is summarized. The simulation results show that the deconvolution beamforming algorithm can achieve the modulation spectrum separation of multiple targets, has better angle resolution of multiple targets, and effectively improves the target detection performance.
2023,45(23): 127-130 收稿日期：2022-10-28
DOI：10.3404/j.issn.1672-7649.2023.23.022
分类号：TN911.7
作者简介：杨刚(1988-),男,博士,讲师,研究方向为声呐装备及军事应用
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