Abstract:

A newlydeveloped method for microphone array  deconvolution method (Deconvolution Approach for the Mapping of Acoustic Sources, DAMAS) is introduced in this paper. Deconvolution method makes beamforming as preprocessing and extracts useful soundsource information from it. Then, a more accurate result can be obtained. Firstly, an experiment of noise measurement for the plane operating in static is carried out based on the microphone array, and the result is analyzed. The analysis is used to validate the feasibility and precision of the deconvolution method. Moreover, an average Doppler frequencyshift factor combined with the deconvolution method is applied to measure the overhead plane noise. The measurement result is compared with that by using traditional method.

Key words: acoustics, beamforming, DAMAS, microphone array, noise measurement, Doppler frequency shift

摘要：

介绍了一种简称反卷积法(DAMAS)的传声器阵列新方法，它是将原有的Beamforming结果作为已知条件，从中提取有用的声源信息，使得处理出来的结果更加准确。文中先运用反卷积法对某型飞机发动机地面开车进行声学测试，再对实验结果进行分析，验证新开发的反卷积法的可行性与准确性。同时引入平均多普勒频移因子，结合反卷积法，对飞机的过顶噪音进行数值模拟，并比较传统方法与反卷积法的优劣

关键词: 声学, 波束成型法, 反卷积法, 传声器阵列, 噪声测量, 多普勒频移