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

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

Dataset

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.

The title and description of this software/code correspond with the situation when the software metadata was imported to ACRIS. The most recent version of metadata is available in the original repository.
Date made available30 Apr 2020
PublisherGitHub
Date of data production1 Jun 2018

Dataset Licences

  • Unspecified

Access Dataset

  • Unsupervised Learning in RSS-Based DFLT Using an EM Algorithm

    Kaltiokallio, O., Hostettler, R., Yiğitler, H. & Valkama, M., 18 Aug 2021, In: Sensors. 21, 16, 24 p., 5549.

    Research output: Contribution to journal › Article › Scientific › peer-review

    Open Access
    File
    6 Citations (Scopus)
    89 Downloads (Pure)

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