scholarly journals Hybrid Sparse Array Beamforming Design for General Rank Signal Models

2019 ◽  
Vol 67 (24) ◽  
pp. 6215-6226 ◽  
Author(s):  
Syed Ali Hamza ◽  
Moeness G. Amin
Keyword(s):  
Sparse Array ◽  
General Rank ◽  
Array Beamforming ◽  
Signal Models

n Adaptive Sparse Array Beamforming Algorithm Based on Approximate L0-norm and Logarithmic Cost

2021 ◽  
Vol 36 (7) ◽  
pp. 838-843
Author(s):  
Haixu Wang ◽  
YingSong Li
Keyword(s):  
Convergence Rate ◽  
Related Parameter ◽  
Sparse Array ◽  
Approximate Function ◽  
Simulation Results ◽  
The Stability ◽  
Array Beamforming ◽  
Beamforming Algorithm

This paper introduces a constrained normalized adaptive sparse array beamforming algorithm based on approximate L0-norm and logarithmic cost (L0-CNLMLS). The proposed algorithm can control the sparsity of the array by introducing an approximate function of L0-norm. In addition, the introduction of logarithmic cost improves the stability of the algorithm as well as the convergence rate of the algorithm. The sparsity of the array can be controlled when adjusting related parameter in the proposed algorithm. Simulation results show the better performance of L0-CNLMLS compared with some conventional algorithms.

Time-based sparse-array beamforming

2001 ◽  
Author(s):  
Lam H. Nguyen ◽  
Jeffrey Sichina ◽  
Marc A. Ressler
Keyword(s):  
Sparse Array ◽  
Array Beamforming
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