Improvement of Software Defined Radio based RSSI localization with bias reduction

Junming Wei, Yiming Ji, Changbin Yu

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)

    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.

    Original languageEnglish
    Title of host publication19th IFAC World Congress IFAC 2014, Proceedings
    EditorsEdward Boje, Xiaohua Xia
    PublisherIFAC Secretariat
    Pages7164-7169
    Number of pages6
    ISBN (Electronic)9783902823625
    DOIs
    Publication statusPublished - 2014
    Event19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014 - Cape Town, South Africa
    Duration: 24 Aug 201429 Aug 2014

    Publication series

    NameIFAC Proceedings Volumes (IFAC-PapersOnline)
    Volume19
    ISSN (Print)1474-6670

    Conference

    Conference19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014
    Country/TerritorySouth Africa
    CityCape Town
    Period24/08/1429/08/14

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