DOA estimation of wideband sources by sparse recovery based on uniform circle array

被引：1

作者：

Zhen, Jiaqi ^{[1
]}

Wang, Yanwei ^{[2
]}

Liu, Yong ^{[1
]}

机构：

[1] Heilongjiang Univ, Coll Elect Engn, Harbin 150080, Peoples R China

[2] Purdue Univ, Birck Nanotechnol Ctr, W Lafayette, IN 47907 USA

来源：

INTERNATIONAL JOURNAL OF EMBEDDED SYSTEMS | 2020年 / 13卷 / 03期

关键词：

direction of arrival; wideband sources; sparse recovery; uniform circle array; array signal processing; semidefinite programming; linear frequency modulation; support set; signal parameter estimation; embedded systems; OF-ARRIVAL ESTIMATION; INTERNET;

D O I：

10.1504/IJES.2020.109964

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The conventional direction of arrival (DOA) estimation by compressed sensing is based on wideband focusing and sparse recovery in discrete domain. The former needs high signal to noise ratio (SNR), and the latter requires the space division, or their performance will degrade seriously. Therefore, a new algorithm of wideband DOA calculation in frequency domain based on uniform circle array (UCA) is proposed, the optimisation problems are respectively disposed at each frequency, then the sparse support set is acquired by the corresponding semidefinite programming, after that DOA is calculated through fusing the data of every frequency, simultaneously the original sources can also be reconstructed. This algorithm averts the grid partition in discrete domain, and it also performs well in condition of small samples and low SNR.

引用

页码：300 / 307

页数：8

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