Behaviors of Antenna Polarization for RSSI Location Identification

Xu Huang, Mark Barralet, Dharmendra Sharma

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    7 Citations (Scopus)

    Abstract

    Real-time position localization of moving objects in an indoor environment is an encouraging technology for realizing the vision of creating numerous novel location-aware services and applications in various market segments. An off the shelf development platform that uses radio signal strength indication (RSSI) based location tracking technique is studied. In this paper we investigate the affects of polarization on the accuracy of an indoor location tracking system. We present an approach to increase system accuracy based on this investigation. We established a model for determining range from RSSI and showed that the model fits our own experimental data. The model includes parameters used to account of environmental effects and we use the least squares method of determining the parameter values. Antenna polarization angle will affect RSSI and thus range accuracy. We empirically show that the model is still valid for polarization mismatch but with different environmental parameter values. A method based on semi-automated trail and error is proposed as a better method for selecting the environmental parameters. Using experimental data we show that if we adjust the model parameters to account for polarization angle then we can increase location accuracy. A practical solution for determining the polarization angle is with an accelerometer. The addition of an accelerometer could also be used to increase the battery life of the node.
    Original languageEnglish
    Title of host publicationIEEE International Conference on Network Security, Wireless Communication and Trusted Computing
    EditorsZhenbing Hu, Weiming Li
    Place of PublicationUnited States
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages151-154
    Number of pages4
    Volume1
    ISBN (Print)9780769536101
    DOIs
    Publication statusPublished - 2009
    EventIEEE International Conference on Network Security, Wireless Communication and Trusted Computing - Wuhan, China
    Duration: 25 Apr 200926 Apr 2009

    Conference

    ConferenceIEEE International Conference on Network Security, Wireless Communication and Trusted Computing
    CountryChina
    CityWuhan
    Period25/04/0926/04/09

    Fingerprint

    Polarization
    Antennas
    Accelerometers
    Environmental impact

    Cite this

    Huang, X., Barralet, M., & Sharma, D. (2009). Behaviors of Antenna Polarization for RSSI Location Identification. In Z. Hu, & W. Li (Eds.), IEEE International Conference on Network Security, Wireless Communication and Trusted Computing (Vol. 1, pp. 151-154). United States: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/NSWCTC.2009.49
    Huang, Xu ; Barralet, Mark ; Sharma, Dharmendra. / Behaviors of Antenna Polarization for RSSI Location Identification. IEEE International Conference on Network Security, Wireless Communication and Trusted Computing. editor / Zhenbing Hu ; Weiming Li. Vol. 1 United States : IEEE, Institute of Electrical and Electronics Engineers, 2009. pp. 151-154
    @inproceedings{79fb27e6209d48cdaa817fd3c137ed7d,
    title = "Behaviors of Antenna Polarization for RSSI Location Identification",
    abstract = "Real-time position localization of moving objects in an indoor environment is an encouraging technology for realizing the vision of creating numerous novel location-aware services and applications in various market segments. An off the shelf development platform that uses radio signal strength indication (RSSI) based location tracking technique is studied. In this paper we investigate the affects of polarization on the accuracy of an indoor location tracking system. We present an approach to increase system accuracy based on this investigation. We established a model for determining range from RSSI and showed that the model fits our own experimental data. The model includes parameters used to account of environmental effects and we use the least squares method of determining the parameter values. Antenna polarization angle will affect RSSI and thus range accuracy. We empirically show that the model is still valid for polarization mismatch but with different environmental parameter values. A method based on semi-automated trail and error is proposed as a better method for selecting the environmental parameters. Using experimental data we show that if we adjust the model parameters to account for polarization angle then we can increase location accuracy. A practical solution for determining the polarization angle is with an accelerometer. The addition of an accelerometer could also be used to increase the battery life of the node.",
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    Huang, X, Barralet, M & Sharma, D 2009, Behaviors of Antenna Polarization for RSSI Location Identification. in Z Hu & W Li (eds), IEEE International Conference on Network Security, Wireless Communication and Trusted Computing. vol. 1, IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 151-154, IEEE International Conference on Network Security, Wireless Communication and Trusted Computing, Wuhan, China, 25/04/09. https://doi.org/10.1109/NSWCTC.2009.49

    Behaviors of Antenna Polarization for RSSI Location Identification. / Huang, Xu; Barralet, Mark ; Sharma, Dharmendra.

    IEEE International Conference on Network Security, Wireless Communication and Trusted Computing. ed. / Zhenbing Hu; Weiming Li. Vol. 1 United States : IEEE, Institute of Electrical and Electronics Engineers, 2009. p. 151-154.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

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    AU - Barralet, Mark

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    AB - Real-time position localization of moving objects in an indoor environment is an encouraging technology for realizing the vision of creating numerous novel location-aware services and applications in various market segments. An off the shelf development platform that uses radio signal strength indication (RSSI) based location tracking technique is studied. In this paper we investigate the affects of polarization on the accuracy of an indoor location tracking system. We present an approach to increase system accuracy based on this investigation. We established a model for determining range from RSSI and showed that the model fits our own experimental data. The model includes parameters used to account of environmental effects and we use the least squares method of determining the parameter values. Antenna polarization angle will affect RSSI and thus range accuracy. We empirically show that the model is still valid for polarization mismatch but with different environmental parameter values. A method based on semi-automated trail and error is proposed as a better method for selecting the environmental parameters. Using experimental data we show that if we adjust the model parameters to account for polarization angle then we can increase location accuracy. A practical solution for determining the polarization angle is with an accelerometer. The addition of an accelerometer could also be used to increase the battery life of the node.

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    BT - IEEE International Conference on Network Security, Wireless Communication and Trusted Computing

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    Huang X, Barralet M, Sharma D. Behaviors of Antenna Polarization for RSSI Location Identification. In Hu Z, Li W, editors, IEEE International Conference on Network Security, Wireless Communication and Trusted Computing. Vol. 1. United States: IEEE, Institute of Electrical and Electronics Engineers. 2009. p. 151-154 https://doi.org/10.1109/NSWCTC.2009.49