|Table of Contents|

Subarray reconstruction 2D-DOA estimation algorithmbased on matrix completion(PDF)

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

Issue:
2017年03期
Page:
337-
Research Field:
Publishing date:

Info

Title:
Subarray reconstruction 2D-DOA estimation algorithmbased on matrix completion
Author(s):
Zeng Wenhao1; Zhu Xiaohua1; Li Hongtao1; Zhuang Shanna2
1.School of Electronic and Optical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China; 2.School of Information Science and Technology,Shijiazhuang Tiedao University,Shijiazhuang 050043,China
Keywords:
array signal processing;  matrix completion;  subarray reconstruction;  direction-of-arrival estimation;  sparse arrays;  null space property;  singular value decomposition
PACS:
TN911.72
DOI:
10.14177/j.cnki.32-1397n.2017.41.03.010
Abstract:
An accelerated proximal gradient singular value thresholding based subarray reconstruct ESPRIT(APG-SRESPRIT)algorithm is proposed to improve the efficiency of two-dimensional direction-of-arrival(2D-DOA)estimation of sparse arrays.A DOA estimation signal model of sparse arrays is built based on matrix completion,and is proved to meet the null space property(NSP).The model is recovered to a complete signal model via accelerated proximal gradient singular value thresholding(APG),and subarrays are reconstructed to build a merged matrix.The singular value decomposition(SVD)of the merged matrix is solved,the target angles are obtained after subarray reconstruction,and the target angles can match automatically.Simulation experiments show that this algorithm can decrease the array number by 70%,and estimate the 2D-DOA of sparse arrays precisely.

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Last Update: 2017-06-30