飞机起落架噪声源定位的压缩感知算法

doi:10.7527/S1000-6893.2018.21810

Abstract

Abstract: 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.

Key words: microphone array, beamforming, singular value decomposition, compressive sensing, OMP-SVD algorithm

CLC Number:

V219
TB51

NING Fangli, ZHANG Chao, PAN Feng, LIU Yong, WEI Juan. Compressive sensing algorithm for sound source location of aircraft landing gear[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2018, 39(5): 121810-121810.

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Compressive sensing algorithm for sound source location of aircraft landing gear

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