Next Article in Journal
A Comprehensive Study of Security and Privacy Guidelines, Threats, and Countermeasures: An IoT Perspective
Previous Article in Journal
Decision Making in Power Distribution System Reconfiguration by Blended Biased and Unbiased Weightage Method
Open AccessArticle

Utilization of a Non-Linear Error Function in a Positioning Algorithm for Distance Measurement Systems Designed for Indoor Environments

Gdansk University of Technology, Gabriela Narutowicza St. 11/12, 80-233 Gdansk, Poland
This paper is an extended version of a paper published in International Conference on Telecommunications and Signal Processing 2017, entitled “New Indoor Positioning Algorithm for Distance Measurements”, ISBN 978-1-5090-3981-4, doi:10.1109/TSP.2017.8075974, published by IEEE.
J. Sens. Actuator Netw. 2019, 8(2), 21; https://doi.org/10.3390/jsan8020021
Received: 22 February 2019 / Revised: 2 April 2019 / Accepted: 12 April 2019 / Published: 16 April 2019
(This article belongs to the Special Issue Indoor Positioning and Navigation of Sensor Networks)
A new positioning algorithm for distance measurement systems is outlined herein. This algorithm utilizes a non-linear error function which allows us to improve the positioning accuracy in highly difficult indoor environments. The non-linear error function also allows us to adjust the performance of the algorithm to the particular environmental conditions. The well-known positioning algorithms have limitations, mentioned by their authors, which make them unsuitable for positioning in an indoor environment. In this article, there is a brief discussion about the most popular positioning algorithms with consideration of the indoor environment. The new positioning algorithm is described in detail and a comparative performance analysis of the well-known algorithms and the proposed one is conducted. Those research results are achieved with the utilization of real distance measurement data, collected inside a few different buildings, and they show that the proposed algorithm outperforms the Chan and Foy algorithms in indoor environments. In this article the Automatic Person Localization System (SALOn) is also presented, which was utilized to collect measurement data. View Full-Text
Keywords: radio localization; Chan algorithm; Foy algorithm; indoor environment; RTT radio localization; Chan algorithm; Foy algorithm; indoor environment; RTT
Show Figures

Figure 1

MDPI and ACS Style

Czapiewska, A. Utilization of a Non-Linear Error Function in a Positioning Algorithm for Distance Measurement Systems Designed for Indoor Environments. J. Sens. Actuator Netw. 2019, 8, 21.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop