|Table of Contents|

Compressive Sensing Based Single-snapshot Adaptive Beamforming Algorithm

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2012年01期
Page:
91-95
Research Field:
Publishing date:

Info

Title:
Compressive Sensing Based Single-snapshot Adaptive Beamforming Algorithm
Author(s):
LI Hong-taoHE Ya-pengGU ChengZHU Xiao-hua
School of Electric Engineering and Optoelectronic Technology,NUST,Nanjing 210094,China
Keywords:
compressive sensing beamforming single-snapshot adaptive
PACS:
TN911.7
DOI:
-
Abstract:
Considering sparsity of the spatial interferences,a novel compressive sensing(CS)based single-snapshot adaptive beamforming(CS-SAB)algorithm is presented.The proposed algorithm builds an array module based on the CS,in which the sensing matrix is verified to satisfy the restricted isometry property(RIP).The interference matrix is recovered by Danzing Selector(DS)algorithm with only one snapshot,and at last the beam can be formed by the preprocessing technology.Simulation results show that the proposed algorithm can suppress interferences with any coherence under the condition of few former channels and only one snapshot,needing no estimation of the number of spatial interferences,and improving the output signal to interference plus noise ratio(SINR),thus confirming the validity and superiority of the proposed algorithm.

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Last Update: 2012-10-12