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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 2
604-608

Improved algorithm of millimeter wave with complex network and sparse imaging

Che Lia,b
Wu Xingyunc
Wang Linc
Du Gangc
Jiang Liubinga,b
a. School of Information & Communication, b. Key Laboratory of Wireless Broadband Communication & Signal Processing in Guangxi, c. School of Computer & Information Security, Guilin University of Electronic Technology, Guilin Guangxi 541004, China
DOI: 10.19734/j.issn.1001-3695.2021.06.0230

Abstract

Aiming at the problem of huge time-consuming of reconstruction method based on compressed sensing, this paper proposed a sparse imaging scheme based on deep learning method from the perspective of signal recovery. First, it constructed a U-Net based on complex convolution. Secondly, it input the under-sampled signal into the network to obtain a full-sampled signal. Finally, the method used two-dimensional matched filtering algorithm of distance-dimensional pulse pressure to reconstruct the target. The experiment used the under-sampling simulation data set with different sparsity and different sampling intervals, and compared with traditional and recent signal processing methods, and used the measured data for verification. The experimental results show the algorithm has better performance in reconstruction time and the average gradient of the image.

Foundation Support

国家自然科学基金资助项目(61561010)
广西创新驱动发展专项(桂科AA21077008)
广西重点研发计划资助项目(桂科AB18126003,AB18221016)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.06.0230
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 2
Section: Technology of Graphic & Image
Pages: 604-608
Serial Number: 1001-3695(2022)02-049-0604-05

Publish History

[2021-08-31] Accepted Paper
[2022-02-05] Printed Article

Cite This Article

车俐, 吴兴云, 汪林, 等. 改进的毫米波复数网络稀疏成像算法 [J]. 计算机应用研究, 2022, 39 (2): 604-608. (Che Li, Wu Xingyun, Wang Lin, et al. Improved algorithm of millimeter wave with complex network and sparse imaging [J]. Application Research of Computers, 2022, 39 (2): 604-608. )

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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