Improvement of Software Defined Radio based RSSI localization with bias reduction

Date

2014

Authors

Wei, Junming
Ji, Yiming
Yu, Changbin (Brad)

Journal Title

Journal ISSN

Volume Title

Publisher

International Federation of Automatic Control (IFAC)

Abstract

In this paper, Received Signal Strength Indicator (RSSI) based localization, which attracts many interests because of its simplicity, is investigated. However, the accuracy of RSSI based localization is low because RSSI measurements are easily susceptible to human presence, multi-path effect, fading and even the change of temperature. In order to improve the performance of RSSI based localization, we propose a bias reduction algorithm. Another important contribution of this paper is that, instead of proving the effectiveness of the algorithm through simulation, a RSSI based localization system is developed using reconfigurable Software Defined Radios (SDRs) to verify the algorithm in practice. The results obtained from real-world experiments demonstrate that the proposed bias reduction algorithm can reduce the bias effectively, thus greatly enhancing the localization accuracy of the system.

Description

Keywords

Citation

Source

Proceedings of the 19th IFAC World Congress, 2014

Type

Conference paper

Book Title

Entity type

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DOI

Restricted until

2037-12-31