Open Access Data and Algorithms for Received Signal Strength-based Device-free Localization and Tracking

  • Ossi Kaltiokallio (Creator)
  • Roland Hostettler Uppsala University (Contributor)
  • Alemayehu Solomon Abrar (Contributor)
  • Yusein Ali (Contributor)

Tietoaineisto

Description

The repository contains experimental data for RSS-based DFLT from an open indoor environment and from a downtown residential apartment. In addition, Matlab code is included to perform filtering, smoothing and parameter estimation algorithms to enable unsupervised learning in RSS-based DFLT Using an expectation maximization algorithm.
Koska saatavilla30 huhtikuuta 2020
Tietojen luontipäivämäärä1 kesäkuuta 2018

Projektit

Narrow-band RF Inference (RFI) - Kapeakaistainen RF Inferenssi (RFI)

Kaltiokallio, O., Fellan, A., Jäntti, R. & Ali, Y.

01/09/201625/09/2020

Projekti: Academy of Finland: Other research funding

Siteeraa tätä

Kaltiokallio, O. (Creator), Hostettler, R. (Contributor), Solomon Abrar, A. (Contributor), Ali, Y. (Contributor) (30 huhtikuuta 2020). Open Access Data and Algorithms for Received Signal Strength-based Device-free Localization and Tracking