International Journal of
Physical Sciences

  • Abbreviation: Int. J. Phys. Sci.
  • Language: English
  • ISSN: 1992-1950
  • DOI: 10.5897/IJPS
  • Start Year: 2006
  • Published Articles: 2572

Full Length Research Paper

Research on indoor positioning algorithm based on powerline

Huang Danping1,2 and Wan Qun1*
  1School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China. 2Sichuan University of Science and Engineering, Zigong 643000, P. R. China.
Email: [email protected]

  •  Accepted: 15 August 2012
  •  Published: 16 October 2012

Abstract

 

In this research, the basic principle of data acquisition based on powerline is introduced.Probabilistic neural network (PNN) is applied to indoor location system aiming at environment of strong noise indoor and the reason of PNN applied to indoor location system based on powerline is discussed in detail. According to characteristics of transmitted signal by powerline, the signal is firstly pretreated and then transformed by Fast Fourier Transform (FFT) before it is transmitted to PNN algorithm in order to effectively extract position information included in data by PNN. The test shows that network training speed of PNN is fast, it has a strong ability to resist interference, with having good indoor positioning accuracy and PNN is much better than K-Nearest Neighbor (KNN) and Counter Propagation Network (CPN) indoor positioning algorithm in indoor position system based on powerline.

 

 

 

 

Key words: Probabilistic neural network (PNN) algorithm, power line, indoor positioning, received signal strength indicator (RSSI).

Copyright © 2024 Author(s) retain the copyright of this article.

This article is published under the terms of the Creative Commons Attribution License 4.0

Back to Vol. 7 No. 39
Back to articles
  • Articles on Google by:
SUBSCRIBE TO RSS
SUBMIT MANUSCRIPT
CONFERENCES