常规近场声全息技术分析调制声源产生的声场得到的结果无法正确识别和分析声源的调制成分.展开了调制声源的统计最优近场声全息分析,具体方法为先通过Hilbert变换解调调制声场的声压信号,提取出调制成分,然后再对调制成分进行统计最优近场声全息分析重建调制声源.通过扬声器实验和空压机调制声源识别实验证明了该方法在工程应用上的有效性.%The common near-field acoustic holography ( NAH) can not be utilized to analyze modulating components of a modulated sound source. Here, a method to analyze a modulated sound source with statistically optimal near-field acoustic holography ( SONAH) technology was proposed. Hilbert transformation was induced to demodulate sound signals and pick-up the modulating components, and then the modalating components were analyzed with SONAH technique and the modulated sound source was reconstructed. The effectiveness of the proposed method in engineering was proved with loudspeaker tests and air compressor tests.
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