Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)

A SVT-ESPRIT Estimation Algorithm in Sparse Array

Authors
Wenhao Zeng, Junjie He, Hongtao Li, Xiaohua Zhu
Corresponding Author
Wenhao Zeng
Available Online September 2016.
DOI
https://doi.org/10.2991/iccia-16.2016.3How to use a DOI?
Keywords
Array signal processing; Sparse planar array; DOA Estimation; Matrix Completion.
Abstract
With regard to two dimensional Direction-of-Arrival (2-D DOA) estimation in sparse array, this paper presents a singular value threshold based estimation of signal parameters via rotational invariance technique (SVT-ESPRIT) algorithm. Firstly, a signal model of DOA estimation based on matrix completion is established which turns out to meet Null Space Property (NSP). Secondly, a full signal array is recovered from a sparse signal array using fixed-point iteration algorithm. Finally, 2-D DOA estimation can be achieved from the recovered signal. The proposed algorithm can reduce the number of array elements and achieve high accuracy of 2-D DOA estimation in sparse array. Computer simulations demonstrate the effectiveness and robustness of the proposed algorithm.
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Proceedings
2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
Part of series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-240-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-16.2016.3How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Wenhao Zeng
AU  - Junjie He
AU  - Hongtao Li
AU  - Xiaohua Zhu
PY  - 2016/09
DA  - 2016/09
TI  - A SVT-ESPRIT Estimation Algorithm in Sparse Array
BT  - 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
PB  - Atlantis Press
SP  - 12
EP  - 17
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-16.2016.3
DO  - https://doi.org/10.2991/iccia-16.2016.3
ID  - Zeng2016/09
ER  -