Beamforming using compressive sensing | Zendy

Geoffrey F. Edelmann | Zendy; Charles F. Gaumond | Zendy

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Beamforming using compressive sensing

Author(s) -

Geoffrey F. Edelmann,

Charles F. Gaumond

Publication year - 2011

Publication title -

the journal of the acoustical society of america

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.619

H-Index - 187

eISSN - 1520-8524

pISSN - 0001-4966

DOI - 10.1121/1.3632046

Subject(s) - beamforming , undersampling , wsdma , interference (communication) , acoustics , signal (programming language) , bearing (navigation) , computer science , telecommunications , physics , precoding , mimo , channel (broadcasting) , artificial intelligence , programming language

Compressive sensing (CS) is compared with conventional beamforming using horizontal beamforming of at-sea, towed-array data. They are compared qualitatively using bearing time records and quantitatively using signal-to-interference ratio. Qualitatively, CS exhibits lower levels of background interference than conventional beamforming. Furthermore, bearing time records show increasing, but tolerable, levels of background interference when the number of elements is decreased. For the full array, CS generates signal-to-interference ratio of 12 dB, but conventional beamforming only 8 dB. The superiority of CS over conventional beamforming is much more pronounced with undersampling.

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