title: Compressive sensing beamforming based on covariance for acoustic imaging with noisy measurements.
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.
authors.affiliation: Department of Mechanics and Aerospace, College of Engineering, Peking University, Beijing, 100871, China zhongsy@pku.edu.cn, weiqingkai@pku.edu.cn.
authors.forename: Siyang
authors.initials: S
authors.lastname: Zhong
authors.forename: Qingkai
authors.initials: Q
authors.lastname: Wei
authors.forename: Xun
authors.initials: X
authors.lastname: Huang
mesh_terms: D000162:Acoustics; D000401:Aircraft; D003198:Computer Simulation; D008962:Models, Theoretical; D009038:Motion; D009624:Noise, Transportation; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio; D013016:Sound; D013018:Sound Spectrography