Compressive sensing algorithm for sound source location of aircraft landing gear

被引：0
|
作者：
Ning F. [1 ]
Zhang C. [1 ]
Pan F. [1 ]
Liu Y. [1 ]
Wei J. [2 ]
机构：
[1] School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an
[2] School of Telecommunications Engineering, Xidian University, Xi'an
来源：
Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | 2018年 / 39卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Beamforming; Compressive sensing; Microphone array; OMP-SVD algorithm; Singular value decomposition;
D O I：
10.7527/S1000-6893.2018.21810
中图分类号：
学科分类号：
摘要：
At present, source location of aircraft landing gear is investigated mainly by combining microphone arrays with beamforming algorithms. The Conventional BeamForming (CBF) method has the drawbacks that the main lobe is too wide and the computation result is susceptible to sidelobes. For the advanced beamforming algorithm, the computing time is too long, and false sound sources sometimes occur. This paper presents a new method, which combines the Orthogonal Matching Pursuit (OMP) algorithm with Singular Value Decomposition (SVD), to locate the noise source of the landing gear. Experiments are conducted in the anechoic chamber, the results obtained by three different methods at different frequencies are compared. The experimental results show that compared with the OMP algorithm, the OMP-SVD algorithm can locate the main sources of the landing gear at different frequencies accurately; compared with the CBF algorithm, the OMP-SVD algorithm can improve the resolution significantly. © 2018, Press of Chinese Journal of Aeronautics. All right reserved.
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