Literature DB >> 21974497

Beamforming using compressive sensing.

Geoffrey F Edelmann1, Charles F Gaumond.   

Abstract

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.
© 2011 Acoustical Society of America

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Year:  2011        PMID: 21974497     DOI: 10.1121/1.3632046

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  2 in total

1.  Multi-frequency sparse Bayesian learning for robust matched field processing.

Authors:  Kay L Gemba; Santosh Nannuru; Peter Gerstoft; William S Hodgkiss
Journal:  J Acoust Soc Am       Date:  2017-05       Impact factor: 1.840

2.  A Source Localization Method Using Complex Variational Mode Decomposition.

Authors:  Qiuyan Miao; Xinglin Sun; Bin Wu; Lingyun Ye; Kaichen Song
Journal:  Sensors (Basel)       Date:  2022-05-26       Impact factor: 3.847

  2 in total

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