DOAJ Open Access 2015

Adaptive Beamforming Based on Compressed Sensing with Smoothed l0 Norm

Yubing Han Jian Wang

Abstrak

An adaptive beamforming based on compressed sensing with smoothed l0 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 l0 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.

Topik & Kata Kunci

Electrical engineering. Electronics. Nuclear engineering Cellular telephone services industry. Wireless telephone industry

Penulis (2)

Yubing Han

Jian Wang

Format Sitasi

APA MLA BibTeX

Han, Y., Wang, J. (2015). Adaptive Beamforming Based on Compressed Sensing with Smoothed l0 Norm. https://doi.org/10.1155/2015/959856

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Informasi Jurnal

Tahun Terbit: 2015
Sumber Database: DOAJ
DOI: 10.1155/2015/959856
Akses: Open Access ✓