Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 6
1722-1727

Cooperative positioning in vehicular networks based on fusion of ranging and GNSS information

Qu Xiaomei1
Wang Shifa2
Tan Qushan3
Huang Haifeng2
Jiao Yuwei3
Wei Chuandi2
1. College of Computer Science & Engineering, Southwest Minzu University, Chengdu 610041, China
2. Sichuan Chengmian Cangba Expressway Co. , Ltd. , Mianyang Sichuan 621000, China
3. Sichuan Digital Transportation Technology Co. , Ltd. , Chengdu 610000, China
DOI: 10.19734/j.issn.1001-3695.2023.10.0525

Abstract

In order to enhance the accuracy of vehicle positioning in the Internet of Vehicles, this paper proposed a collaborative positioning method for the Internet of Vehicles based on fusing vehicle-mounted radar ranging information with GNSS information. This method established a mathematical model using the maximum likelihood estimation strategy, which essentially solved a nonlinear optimization problem. It simplified the problem as a quadratic programming problem with multiple quadratic constraints, presented a semi-definite relaxation method to efficiently approximate the original problem, and used the eigenva-lue decomposition method to further improve the approximate solution. Simulation results demonstrate that the accuracy of the collaborative positioning achieved by this information fusion method significantly improves compared to the linearized weighted least squares method. It can also achieve the positioning accuracy of BP(back propagation) neural network localization method based on a large dataset, without the need for pre-training the model, enabling high-precision real-time positioning.

Foundation Support

国家自然科学基金面上项目(61873217)
新一代人工智能国家科技重大专项(2022ZD0115600)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.10.0525
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 6
Section: Algorithm Research & Explore
Pages: 1722-1727
Serial Number: 1001-3695(2024)06-017-1722-06

Publish History

[2024-01-15] Accepted Paper
[2024-06-05] Printed Article

Cite This Article

屈小媚, 王世法, 谭屈山, 等. 基于测距与GNSS信息融合的车联网协同定位技术 [J]. 计算机应用研究, 2024, 41 (6): 1722-1727. (Qu Xiaomei, Wang Shifa, Tan Qushan, et al. Cooperative positioning in vehicular networks based on fusion of ranging and GNSS information [J]. Application Research of Computers, 2024, 41 (6): 1722-1727. )

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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