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

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.
Date made available30 Apr 2020
Date of data production1 Jun 2018

Projects

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

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

01/09/201631/08/2020

Project: Academy of Finland: Other research funding

Cite this

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