摘要
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 simultaneously.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 diagnosismethods based on beamforming have been presented. In this paper, the CBF, CLEAN and DAMAS algorithms were analyzedwith simulation and test. It provides a basis for selection of the algorithms for noise source identification.
出处
《噪声与振动控制》
CSCD
2015年第1期165-168,共4页
Noise and Vibration Control
关键词
声学
信号分析
波束形成
噪声源识别
acoustics
signal analysis
beamforming
noise source identification
