Adaptive Beamforming Based on Compressed Sensing with Smoothed l0 Norm. (18th March 2015)

• Record Type: Journal Article
• Authors: Han, Yubing; Wang, Jian
• Other Names: Castaldi Giuseppe Academic Editor.
• Is Part Of: International journal of antennas and propagation. Volume 2015(2015)
• Publication Date: 2015-03-18
• Subjects: Electronic apparatus and appliances -- Periodicals; Antennas (Electronics) -- Periodicals; Radio wave propagation -- Periodicals; Antennes (Électronique); Ondes radioélectriques -- Propagation; Antennas (Electronics); Electronic apparatus and appliances; Radio wave propagation; Electronic journals; Periodicals; 621.382405
• DOI: 10.1155/2015/959856
• Languages: English
• ISSNs: 1687-5869

Abstract

Abstract : An adaptive beamforming based on compressed sensing with smoothed l 0 norm for large-scale sparse receiving array is proposed in this paper. Because of the spatial sparsity of the arriving signal, compressed sensing is applied to sample received signals with a sparse array and reduced channels. The signal of full array is reconstructed by using a compressed sensing reconstruction method based on smoothed l 0 norm. Then an iterative linearly constrained minimum variance beamforming algorithm is adopted to form antenna beam, whose main lobe is steered to the desired direction and nulls to the directions of interferences. Simulation results and Monte Carlo analysis for linear and planar arrays show that the beam performances of our proposed adaptive beamforming are similar to those of full array antenna.