Open Access

ARTICLE

RSS-Based Indoor Localization System with Single Base Station

Samir Salem Al-Bawri^1,*, Mohammad Tariqul Islam², Mandeep Jit Singh^1,2, Mohd Faizal Jamlos³, Adam Narbudowicz⁴, Max J. Ammann⁴, Dominique M. M. P. Schreurs⁵

1 Space Science Centre, Climate Change Institute, Universiti Kebangsaan Malaysia, Bangi, 43600, Malaysia
2 Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, UKM, Bangi, 43600, Selangor, Malaysia
3 Faculty of Mechanical Engineering, Universiti Malaysia Pahang, Pekan, 26600, Pahang, Malaysia
4 Antenna and High Frequency Research Centre, School of Electrical & Electronic Engineering, Dublin Institute of Technology, Dublin 8, Ireland
5 Department of Electrical Engineering, Division ESAT-TELEMIC, KU Leuven, Belgium

* Corresponding Author: Samir Salem Al-Bawri. Email:

(This article belongs to the Special Issue: Intelligent Computing Techniques for Communication Systems)

Computers, Materials & Continua 2022, 70(3), 5437-5452. https://doi.org/10.32604/cmc.2022.020781

Received 07 June 2021; Accepted 08 July 2021; Issue published 11 October 2021

Abstract

The paper proposes an Indoor Localization System (ILS) which uses only one fixed Base Station (BS) with simple non-reconfigurable antennas. The proposed algorithm measures Received Signal Strength (RSS) and maps it to the location in the room by estimating signal strength of a direct line of sight (LOS) signal and signal of the first order reflection from the wall. The algorithm is evaluated through both simulations and empirical measurements in a furnished open space office, sampling 21 different locations in the room. It is demonstrated the system can identify user’s real-time location with a maximum estimation error below 0.7 m for 80% confidence Cumulative Distribution Function (CDF) user level, demonstrating the ability to accurately estimate the receiver’s location within the room. The system is intended as a cost-efficient indoor localization technique, offering simplicity and easy integration with existing wireless communication systems. Unlike comparable single base station localization techniques, the proposed system does not require beam scanning, offering stable communication capacity while performing the localization process.

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Keywords

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