Technology of Network & Communication
|
App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 3
851-856

Bluetooth peak detection method based on PDR

Ma Peixing1
Wang Mei1,2
Zhou Zou2
Song Zhiyuan1
Tang Qinghua1
1. College of Information Science & Engineering, Guilin University of Technology, Guilin Guangxi 541006, China
2. Key Laboratory of Cognitive Radio & Information Processing of Ministry of Education, Guilin University of Electronic Technology, Guilin Guangxi 541004, China
DOI: 10.19734/j.issn.1001-3695.2021.09.0366

Abstract

In indoor localization, PDR method is one of the most convenient localization methods, but the cumulative error will get larger as the distance traveled increases. The use of Bluetooth peak correction algorithm can effectively reduce the cumulative error of PDR, but the Bluetooth signal has the problem of pseudo-peak and mis-peak in multi-Bluetooth base stations. To address the above problems, this paper proposed a PDR-based Bluetooth peak detection method. The method first calcula-ted the prediction probability based on the PDR position estimation information and Bluetooth distribution information to filter out the closest Bluetooth in the forward direction, thus reducing false peaks. Secondly, it calculated the adaptive threshold based on the change of the signal, thus outputting the switching sate to find the wave peak, to detect the true peak and reduce the false peak. Finally, this paper used an improved Bluetooth peak correction algorithm to correct the PDR position estimation. The experimental results show that the proposed method can achieve a correct peak detection rate of 82.1% on Android smartphones. Compared with the traditional sliding window peak detection method, it can effectively reduce the interference of pseudo-peaks and false peaks, and reduce the cumulative error of PDR.

Foundation Support

国家自然科学基金资助项目(62071135)
广西科技重大专项资助项目(创新驱动发展专项)(桂科AA18118039)
广西科技计划资助项目(桂科AD18281044)
认知无线电与信息处理省部共建教育部重点实验室主任基金资助项目(CRKL190104)
广西重点研发计划资助项目(桂科AB17292058)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.09.0366
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 3
Section: Technology of Network & Communication
Pages: 851-856
Serial Number: 1001-3695(2022)03-036-0851-06

Publish History

[2021-11-29] Accepted Paper
[2022-03-05] Printed Article

Cite This Article

马培兴, 王玫, 周陬, 等. 基于行人航迹推算的蓝牙峰值检测方法 [J]. 计算机应用研究, 2022, 39 (3): 851-856. (Ma Peixing, Wang Mei, Zhou Zou, et al. Bluetooth peak detection method based on PDR [J]. Application Research of Computers, 2022, 39 (3): 851-856. )

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)