Compressive sensing beamforming based on covariance for acoustic imaging with noisy measurements

J Acoust Soc Am. 2013 Nov;134(5):EL445-51. doi: 10.1121/1.4824630.

Abstract

Compressive sensing, a newly emerging method from information technology, is applied to array beamforming and associated acoustic applications. A compressive sensing beamforming method (CSB-II) is developed based on sampling covariance matrix, assuming spatially sparse and incoherent signals, and then examined using both simulations and aeroacoustic measurements. The simulation results clearly show that the proposed CSB-II method is robust to sensing noise. In addition, aeroacoustic tests of a landing gear model demonstrate the good performance in terms of resolution and sidelobe rejection.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acoustics*
  • Aircraft*
  • Computer Simulation
  • Models, Theoretical
  • Motion
  • Noise, Transportation*
  • Signal Processing, Computer-Assisted*
  • Signal-To-Noise Ratio
  • Sound Spectrography
  • Sound*