噪声源识别在航空航海等领域具有重要的意义。目前常用的识别算法多数是基于波束形成，一方面是由于其性能稳定，另一方面则可以在定位噪声源的同时估计其辐射强度。常规波束形成方法(CBF)的主瓣宽度较宽，不利于分辨相距较近的噪声源。近年来，基于波束形成的高分辨噪声源识别方法不断涌现，各种噪声源识别方法有其不同特点。为此，针对CBF，CLEAN，DAMAS三种算法进行分析，仿真对比这三种方法的特点，并通过外场实验验证了仿真的正确性，从而为噪声源识别中选择合适的算法提供依据。%Beamforming methods are robust and can be used to estimate noise source location and power level simulta-neously. Therefore, they are widely applied in noise source identification. Among these methods, conventional beamforming (CBF) has a wide beamwidth, so it’s hard to distinguish closed noise sources. In recent years, many high resolution diagno-sis methods based on beamforming have been presented. In this paper, the CBF, CLEAN and DAMAS algorithms were ana-lyzed with simulation and test. It provides a basis for selection of the algorithms for noise source identification.
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