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Eusipco2020_firstSubmissionLCMP-BPR.pdf
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Accepted manuscript
Type
Conference PaperKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
Date
2020-12-18Online Publication Date
2020-12-18Print Publication Date
2021-01-24Permanent link to this record
http://hdl.handle.net/10754/666509
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This paper addresses the problem of robust beamforming for a moving source. To cope with the source movement, the regularization (or diagonal loading) parameter needs to be adjusted regularly. The need for repeatedly finding an adequate value of the regularization parameter increases the overall computational complexity. This paper proposes a simple and efficient initialization of Newton’s method to find the regularization parameter. The regularization parameter is chosen to minimize the mean-squared-error (MSE) of a regularized least-squares (RLS) problem by solving a certain function. We exploit some properties of this function to develop the method. Simulation results demonstrate that the proposed initialization method can reduce the runtime by 75%.Citation
Mahadi, M., Ballal, T., Moinuddin, M., Al-Naffouri, T. Y., & Al-Saggaf, U. (2021). Low-Complexity Robust Beamforming for a Moving Source. 2020 28th European Signal Processing Conference (EUSIPCO). doi:10.23919/eusipco47968.2020.9287699Conference/Event name
2020 28th European Signal Processing Conference (EUSIPCO)ISBN
978-1-7281-5001-7Additional Links
https://ieeexplore.ieee.org/document/9287699/https://ieeexplore.ieee.org/document/9287699/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9287699
ae974a485f413a2113503eed53cd6c53
10.23919/Eusipco47968.2020.9287699