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Eusipco2020_firstSubmissionMSB-BPR.pdf
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Accepted manuscript
Type
Conference PaperKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
Date
2020-12-18Permanent link to this record
http://hdl.handle.net/10754/666511
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This paper deals with the problem of automatic diagonal loading for the linear constrained minimum power beamformer. To find the beamformer’s weights, the linear constrained minimum power problem is reformulated into its generalized sidelobe canceller implementation, which is an unconstrained least-squares problem. To solve this problem, we utilize a bounded perturbation regularization approach where a perturbation matrix with a bounded norm is added to the linear transformation matrix of the least-squares problem in order to enhance the singular-value structure of the matrix. Compared to different diagonal loading methods, the proposed method shows superiority in performance when the number of snapshots is limited.Citation
Mahadi, M., Ballal, T., Moinuddin, M., Al-Naffouri, T. Y., & Al-Saggaf, U. (2021). A Robust LCMP Beamformer with Limited Snapshots. 2020 28th European Signal Processing Conference (EUSIPCO). doi:10.23919/eusipco47968.2020.9287811Publisher
IEEEConference/Event name
2020 28th European Signal Processing Conference (EUSIPCO)ISBN
978-1-7281-5001-7Additional Links
https://ieeexplore.ieee.org/document/9287811/https://ieeexplore.ieee.org/document/9287811/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9287811
ae974a485f413a2113503eed53cd6c53
10.23919/Eusipco47968.2020.9287811