Technology of Network & Communication
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841-844,850

Indoor Wi-Fi based passive moving target detection approach

Zhang Xiaoya
Tian Zengshan
Li Lingxia
School of Communication & Information Engineering, Chongqing University of Posts & Telecommunications, Chongqing 400065, China

Abstract

Some traditional Wi-Fi indoor passive moving target detection systems only extract the coarse-grained statistical information such as the mean value and variance, which lead to low detection accuracy. The key to the realization of passive moving target detection is to characterize the influence of the target on wireless links. This paper explored the method of characterizing the distribution of the signal as a whole and proposed a novel coherence histogram. At the same time, this paper proposed a coherence histogram based on passive moving target detection method. In order to solve the position drift problem in the tracking process, it used the Allen time logic to establish the transfer relationship between the different sub-areas in the monitoring area, and it used the relationship to correct the initial result of the position. Compared with classical passive people detection methods, the Wi-Fi indoor passive moving target detection approach based on coherence histogram has better performance. The comprehensive indicator F1-measure is improved by nearly 5%.

Foundation Support

国家自然科学基金资助项目(61771083,61704015)
长江学者和创新团队发展计划资助项目(IRT1299)
重庆市研究生科研创新项目(CYS17221)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.01.0018
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 3
Section: Technology of Network & Communication
Pages: 841-844,850
Serial Number: 1001-3695(2021)03-039-0841-04

Publish History

[2021-03-05] Printed Article

Cite This Article

张小娅, 田增山, 李玲霞. 室内Wi-Fi网络下的被动式运动目标检测算法 [J]. 计算机应用研究, 2021, 38 (3): 841-844,850. (Zhang Xiaoya, Tian Zengshan, Li Lingxia. Indoor Wi-Fi based passive moving target detection approach [J]. Application Research of Computers, 2021, 38 (3): 841-844,850. )

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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