Algorithm Research & Explore
|
790-796

Three-dimensional cooperative location algorithm of dense pedestrians based on UWB

He Junyi
Wu Mengxiang
Song Cheng
Zhang Min
Zhang Junnan
College of Computer Science & Technology, Henan Polytechnic University, Jiaozuo Henan 454002, China

Abstract

In view of the problem that low positioning accuracy of dense pedestrians and high density requirement of UWB base stations in complex indoor environment, this paper developed a three-dimensional cooperative location algorithm for dense pedestrians based on UWB. Firstly, it used clustering algorithm to suppress the large non-line-of-sight(NLOS) error in the ranging data, and suppressed the standard measurement error with the Gaussian mean mixture filtering. Then, it proposed a two-layer cooperative positioning algorithm, established a co-localization mathematical model and combined iterative initial value acquisition strategies for initial localization, which reduced the requirement for number of base stations. After screening the ranging data with smaller NLOS errors and correcting them, it performed secondary positioning. Finally, considering the high mobility of pedestrians, it designed an interactive multi-model Kalman filter algorithm to alleviate the problem of jumps in positioning results. Experimental results show that the positioning accuracy of the proposed algorithm is 0.11 m in weak NLOS environment and 0.17 m in strong NLOS environment respectively, which has a higher positioning accuracy compared with other algorithms and further reduces the requirement for UWB base station density.

Foundation Support

国家自然科学基金资助项目(61872126,61772159)
河南省科技攻关项目(212102210092)
河南省高校重点研究基金资助项目(20A520015)
博士基金资助项目(60907023)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.08.0341
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 3
Section: Algorithm Research & Explore
Pages: 790-796
Serial Number: 1001-3695(2022)03-025-0790-07

Publish History

[2021-11-15] Accepted Paper
[2022-03-05] Printed Article

Cite This Article

贺军义, 吴梦翔, 宋成, 等. 基于UWB的密集行人三维协同定位算法 [J]. 计算机应用研究, 2022, 39 (3): 790-796. (He Junyi, Wu Mengxiang, Song Cheng, et al. Three-dimensional cooperative location algorithm of dense pedestrians based on UWB [J]. Application Research of Computers, 2022, 39 (3): 790-796. )

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.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)