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http://dx.doi.org/10.5515/KJKIEES.2016.27.4.388

Compressive Sensing-Based L1-SVD DOA Estimation  

Cho, Yunseong (Information and Communication Engineering, Sejong University)
Paik, Ji-Woong (Information and Communication Engineering, Sejong University)
Lee, Joon-Ho (Information and Communication Engineering, Sejong University)
Ko, Yo Han (C4I Lab, LIG Nex1)
Cho, Sung-Woo (C4I Lab, LIG Nex1)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.27, no.4, 2016 , pp. 388-394 More about this Journal
Abstract
There have been many studies on the direction-of-arrival(DOA) estimation algorithm using antenna arrays. Beamforming, Capon's method, maximum likelihood, MUSIC algorithms are the main algorithms for the DOA estimation. Recently, compressive sensing-based DOA estimation algorithm exploiting the sparsity of the incident signals has attracted much attention in the signal processing community. In this paper, the performance of the L1-SVD algorithm, which is based on fitting of the data matrix, is compared with that of the MUSIC algorithm.
Keywords
Compressive Sensing; Sparsity; AOA;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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