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Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 2
563-568

Low-cost radar localization solution based on interpretable network decoupling representation

Liu Leia,b
Lin Jiea
a. School of Management, b. School of Optical-Electrical, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2023.06.0269

Abstract

In order to reduce the cost of frequency modulated continuous wave(FMCW) radar, while improving the positioning accuracy, this paper designed an interpretable decoupled characterization model. This model consisted of a network solver, a fake signal generator and interpretable latent variables. Firstly, it processed the radar signal to obtain the intermediate frequency spectrum. Then, it input processed signal into the network solver to generate position latent variables. Furthermore, it transformed these latent variables through physical mechanisms to produce a fake intermediate frequency spectrum. Finally, it designed a local smooth loss function to conduct self-supervised training on the model, achieving the decoupled physical representation of latent variables. Experimental results show that the proposed method can perform super-resolution refinement on the coarse spectrum signals of the radar system. The method can effectively addresses hardware tolerances, environmental noise, installation errors and other issues in the radar system. Moreover, it can train the radar's solver network relatively automatically, demonstrating the application potentials for large-scale indoor and airborne network positioning.

Foundation Support

国家自然科学基金资助项目(72071130)
上海市自然科学基金资助项目(22ZR1443300)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.06.0269
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 2
Section: Technology of Network & Communication
Pages: 563-568
Serial Number: 1001-3695(2024)02-037-0563-06

Publish History

[2023-08-31] Accepted Paper
[2024-02-05] Printed Article

Cite This Article

刘磊, 林杰. 基于可解释网络解耦表征的低成本雷达定位解算方法 [J]. 计算机应用研究, 2024, 41 (2): 563-568. (Liu Lei, Lin Jie. Low-cost radar localization solution based on interpretable network decoupling representation [J]. Application Research of Computers, 2024, 41 (2): 563-568. )

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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