Article citationsMore>>

Beagum, S.S., Hundewale, N. and Sathik, M.M. (2015) Improved Adaptive Median Filters Using Nearest 4-Neighbors for Restoration of Images Corrupted with Fixed-Valued Impulse Noise. IEEE International Conference on Computational Intelligence and Computing Research. IEEE.

has been cited by the following article:

• TITLE: A Study of WiFi-Aided Magnetic Matching Indoor Positioning Algorithm

  AUTHORS: Enliang Wang, Mei Wang, Zhibin Meng, Xiangyu Xu

  KEYWORDS: Indoor Positioning, Magnetic Field, Particle Filter, Smartphones

  JOURNAL NAME: Journal of Computer and Communications, Vol.5 No.3, March 13, 2017

  ABSTRACT: Aiming at the shortcomings of the existing indoor location algorithm, such as low accuracy of positioning, high deployment and maintenance cost, and unstable robustness, this paper proposes a method of indoor location based on the integration of smartphone with WiFi and magnetic field using multi-sensor fusion. In the initial stages of positioning, rough location is achieved by Wi-Fi-RSSI fingerprints which provides an initial location and geomagnetic matching area for indoor positioning based on particle filter magnetic field matching. This paper proposes the use of median filter algorithm to deal with the original magnetic field data and covariance interpolation algorithm to generate magnetic field map, and effectively reduce the interference which caused by geomagnetic fluctuations, thereby it will improves the positioning accuracy. Finally, through conducting comprehensive experiments and tests, the results show that the proposed technique can reliably achieve 0.836 meters precision in current experimental environment.