Diagonal Loading Beamforming Based on Aquila Optimizer
Traditional beamforming algorithms are only applicable to ideal environments. When the array antenna receives data under circumstances of small snapshots or large signal-to-noise ratio(SNR), noise eigenvalues of classic sample matrix inversion(SMI) and other algorithms will diverge, resulting in bea...
Main Authors: | Chao Liu, Jiaqi Zhen |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10175165/ |
Similar Items
-
Diagonal Denoising for Conventional Beamforming via Sparsity Optimization
by: Guangyu Jiang, et al.
Published: (2020-01-01) -
Iterative robust adaptive beamforming
by: Yang Li, et al.
Published: (2017-08-01) -
Broadband Beamforming Using the Least Square Method Improved via Adaptive Diagonal Loading
by: Euiho Shin, et al.
Published: (2023-07-01) -
Robust Adaptive Beamforming Using Noise Reduction Preprocessing-Based Fully Automatic Diagonal Loading and Steering Vector Estimation
by: Yuxuan Ke, et al.
Published: (2017-01-01) -
Narrowband Multipath Signal Reception Beamforming Algorithm Based on Anti-diagonal Unit Matrix
by: Ding Yong-chao, et al.
Published: (2015-04-01)