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Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 11
3472-3475

Convex optimization covariance matrix based on modified weighted spatial smoothing algorithm

Di Jing
Li Yu
Ma Liwen
Shen Dong
Li Cuiran
School of Electronics & Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
DOI: 10.19734/j.issn.1001-3695.2019.07.0207

Abstract

When processing coherent signals are interfered by non-uniform noise in the cases of low signal-to-noise ratio, the traditional DOA(direction-of-arrival) estimation has poor performance or even failure. To solve the problem, this paper proposed a DOA method based on the modified weighted spatial smoothing method to construct the optimal weight matrix by the convex optimization. The modified weighted spatial smoothing method could deal with extraction of the coherent sources, meanwhile, it constructed the weight matrix. Furthermore, the method reconstructed the noise-free weight matrix by the convex optimization, and weighted the smoothed covariance matrix. Finally, it implemented the DOA by the MUSIC algorithm. The simulation results show that, comparing to the SS-MUSIC, SS-ESMUSIC and SS-CRM algorithm, the method suppresses the non-uniform noise well, solves the coherence more effectively, overcomes the influence of low SNR, and shows better resolution and accuracy.

Foundation Support

国家自然科学基金资助项目(61741113,61661025,61661026)
甘肃省高等学校创新能力提升项目(2019B-052)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.07.0207
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 11
Section: Technology of Network & Communication
Pages: 3472-3475
Serial Number: 1001-3695(2020)11-055-3472-04

Publish History

[2020-11-05] Printed Article

Cite This Article

邸敬, 李煜, 马黎文, 等. 基于改进加权空间平滑的凸优化协方差估计 [J]. 计算机应用研究, 2020, 37 (11): 3472-3475. (Di Jing, Li Yu, Ma Liwen, et al. Convex optimization covariance matrix based on modified weighted spatial smoothing algorithm [J]. Application Research of Computers, 2020, 37 (11): 3472-3475. )

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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