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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2018, Vol. 39 ›› Issue (5): 121810-121810.doi: 10.7527/S1000-6893.2018.21810

• Fluid Mechanics and Flight Mechanics • Previous Articles     Next Articles

Compressive sensing algorithm for sound source location of aircraft landing gear

NING Fangli1, ZHANG Chao1, PAN Feng1, LIU Yong1, WEI Juan2   

  1. 1. School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China;
    2. School of Telecommunications Engineering, Xidian University, Xi'an 710071, China
  • Received:2017-10-18 Revised:2018-01-24 Online:2018-05-15 Published:2018-01-24
  • Supported by:
    National Natural Science Foundation of China (51675425,51375385); Natural Science Basic Research Plan in Shaanxi Province (2016JZ013)

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: