Title :
High resolution beamforming with promoted sparsity via reweighted methodology
Author :
Chen, X.Y. ; Zhao, G.H. ; Zhang, T.J. ; Shi, G.M.
Author_Institution :
Sch. of Electron. Eng., Xidian Univ., Xi´´an, China
Abstract :
We propose a high resolution beamforming method based on a strategy of reweighted compressed sensing. By solving the beamforming problem in a reweighted manner, a direction-of-arrival (DOA) estimation result with enhanced resolution and precision can be obtained stably.
Keywords :
array signal processing; compressed sensing; direction-of-arrival estimation; DOA estimation; direction-of-arrival estimation; high resolution beamforming method; reweighted compressed sensing; reweighted methodology; sparsity; Array signal processing; Arrays; Direction of arrival estimation; Estimation; Minimization; Signal resolution; Signal to noise ratio; Beamforming; DOA; high resolution; reweighted L1 minimization; sparsity;
Conference_Titel :
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8444-7
DOI :
10.1109/CIE-Radar.2011.6159825
