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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 7
2060-2065

Low-complexity underdetermined DOA estimation algorithm for cyclostationary signals based on coprime array

Zhang Jin
Wang Daming
Cui Weijia
Ba Bin
Xu Haiyun
Institute of Information System Engineering, Information Engineering University, Zhengzhou 450001, China
DOI: 10.19734/j.issn.1001-3695.2020.09.0234

Abstract

In view of the problems that most cyclostationary signals DOA estimation algorithms have high complexity, low accuracy, and disability to realize underdetermined estimation of useful signals, this paper proposed a low-complexity and underdetermined DOA estimation algorithm for cyclostationary signals based on a coprime array. The main idea of the proposed algorithm was to use the good sparse characteristics of the matrix to construct a virtual array model through vectorization processing. The proposed algorithm expanded the array aperture, and improved the degree of freedom. Firstly, the proposed algorithm constructed the cyclic autocorrelation matrix output by the coprime matrix, and then performed vectorization process to obtain the largest continuous virtual element part, and gave the expression of its spectral peak search. Finally, the improved algorithm used the method of polynomial to find the roots to directly solve the DOA estimation value, it greatly reduced the computational complexity. The simulation results show that the proposed algorithm can realize under-determined estimation of useful signals, and the computational complexity is low. Compared with most cyclostationary signals DOA estimation algorithms, the estimation degree of freedom and the estimation accuracy of the proposed algorithm are further improved.

Foundation Support

国家自然科学基金资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.09.0234
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 7
Section: Algorithm Research & Explore
Pages: 2060-2065
Serial Number: 1001-3695(2021)07-026-2060-06

Publish History

[2021-07-05] Printed Article

Cite This Article

张晋, 王大鸣, 崔维嘉, 等. 基于互质阵的循环平稳信号低复杂度欠定DOA估计算法 [J]. 计算机应用研究, 2021, 38 (7): 2060-2065. (Zhang Jin, Wang Daming, Cui Weijia, et al. Low-complexity underdetermined DOA estimation algorithm for cyclostationary signals based on coprime array [J]. Application Research of Computers, 2021, 38 (7): 2060-2065. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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