南京理工大学学报（自然科学版）2017，Vol.41Issue(3)：337-343,7.DOI:10.14177/j.cnki.32-1397n.2017.41.03.010
基于矩阵填充的子阵重构二维波达方向估计算法
Subarray reconstruction 2D-DOA estimation algorithm based on matrix completion
曾文浩 1朱晓华 1李洪涛 1庄珊娜2
作者信息
- 1. 南京理工大学 电子工程与光电技术学院,江苏 南京 210094
- 2. 石家庄铁道大学 信息科学与技术学院,河北 石家庄 050043
- 折叠
摘要
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.关键词
阵列信号处理/矩阵填充/子阵重构/波达方向估计/稀疏阵列/零空间性质/奇异值分解Key words
array signal processing/matrix completion/subarray reconstruction/direction-of-arrival estimation/sparse arrays/null space property/singular value decomposition分类
信息技术与安全科学引用本文复制引用
曾文浩,朱晓华,李洪涛,庄珊娜..基于矩阵填充的子阵重构二维波达方向估计算法[J].南京理工大学学报（自然科学版）,2017,41(3):337-343,7.
