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dc.contributor.authorMahadi, Maaz
dc.contributor.authorBallal, Tarig
dc.contributor.authorMoinuddin, Mohammad
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.contributor.authorAl-Saggaf, Ubaid
dc.date.accessioned2020-12-20T11:42:14Z
dc.date.available2020-12-20T11:42:14Z
dc.date.issued2020-12-18
dc.identifier.citationMahadi, 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/eusipco47968.2020.9287699
dc.identifier.isbn978-1-7281-5001-7
dc.identifier.issn2219-5491
dc.identifier.doi10.23919/Eusipco47968.2020.9287699
dc.identifier.urihttp://hdl.handle.net/10754/666509
dc.description.abstractThis 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%.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/9287699/
dc.relation.urlhttps://ieeexplore.ieee.org/document/9287699/
dc.relation.urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9287699
dc.rightsArchived with thanks to IEEE
dc.subjectRobust adaptive beamforming
dc.subjectMVDR
dc.subjectgeneralized sidelobe canceller
dc.subjectdiagonal loading
dc.titleLow-Complexity Robust Beamforming for a Moving Source
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.conference.date18-21 Jan. 2021
dc.conference.name2020 28th European Signal Processing Conference (EUSIPCO)
dc.conference.locationAmsterdam
dc.eprint.versionPost-print
dc.contributor.institutionKing Abdulaziz University,Department of Electrical and Computer Engineering,Jeddah,KSA
kaust.personBallal, Tarig
kaust.personAl-Naffouri, Tareq Y.
refterms.dateFOA2020-12-21T05:46:23Z


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