TY - GEN
T1 - A Robust LCMP Beamformer with Limited Snapshots
AU - Mahadi, Maaz
AU - Ballal, Tarig
AU - Moinuddin, Mohammad
AU - Al-Naffouri, Tareq Y.
AU - Al-Saggaf, Ubaid
N1 - KAUST Repository Item: Exported on 2020-12-22
PY - 2020/12/18
Y1 - 2020/12/18
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/666511
UR - https://ieeexplore.ieee.org/document/9287811/
U2 - 10.23919/Eusipco47968.2020.9287811
DO - 10.23919/Eusipco47968.2020.9287811
M3 - Conference contribution
SN - 978-1-7281-5001-7
BT - 2020 28th European Signal Processing Conference (EUSIPCO)
PB - IEEE
ER -