为了更好验证自适应波束形成技术的实际应用，本文研究了基于海试数据的不同自适应波束形成方法的性能，对比分析CBF算法、MVDR算法、MUSIC算法的优缺点，总结了各算法适用条件及实用性。研究结果表明，在声呐的实际应用中，CBF算法更适用于实时性要求较高、目标数量较少的方位探测；MUSIC算法更适用于实时性要求不高、目标数量较多、目标数量已知的方位探测；MVDR算法更适用于实时性要求不高、目标数量较多、目标数量未知的方位探测。
To better verify the practical application of adaptive beamforming technology, this paper studies the performance of different adaptive beamforming methods based on sea trial data, compares and analyzes the advantages and disadvantages of the CBF algorithm, MVDR algorithm, and MUSIC algorithm, and summarizes the applicability conditions and practicality of each algorithm. The results show that, in the practical application of sonar, the CBF algorithm is more suitable for bearing detection with high real-time requirements and a small number of targets; the MUSIC algorithm is more suitable for bearing detection with a low real-time requirement, a large number of targets and known number of targets; the MVDR algorithm is more suitable for bearing detection with a low real-time requirement, a large number of targets and the unknown number of targets.
2024,46(6): 131-134 收稿日期：2023-04-02
DOI：10.3404/j.issn.1672-7649.2024.06.022
分类号：TB566
作者简介：李智忠(1979-),男,博士,副教授,研究方向为水声工程
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