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Range Domain IMM Filtering with Additional Signal Attenuation Error Mitigation of Individual Channels for WLAN RSSI-Based Position-Tracking

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Progress in Location-Based Services 2014

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

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Abstract

In this paper, an adaptive filter is presented for position-tracking of a mobile node using WLAN Received Signal Strength Indicator (RSSI). To take the dynamics of the mobile node into consideration, the presented filter is expressed based on an Interacting Multiple Model (IMM) filter. In indoor environment, Additional Signal Attenuation Error (ASAE) occurs due to several obstacles such as wall, furniture, etc. It causes large positioning error. The presented filter includes an ASAE mitigation function of individual channels. In the simulation test, it shows that the presented filter can provide an accurate position-tracking solution for a mobile node using WLAN RSSI in indoor environment.

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References

  • Ai-Jazzar S, Caffery J, You H (2002) A scattering model based approach to NLOS mitigation in TOA location systems. IEEE Veh Technol Conf 2:861–865

    Google Scholar 

  • Banani S, Najibi M, Vaughan R (2013) Range-based localisation and tracking in non-line-of-sight wireless channels with gaussian scatterer distribution model. IET Commun 7(18):2034–2043

    Article  Google Scholar 

  • Bar-Shalom Y, Challa S, Blom H (2005) IMM estimator versus optimal estimator for hybrid systems. IEEE Trnas Aerosp Electron Syst 41(3):986–991

    Article  Google Scholar 

  • Brown R, Hwang P (1985) Introduction to random signals and applied kalman filtering. Wiley, New York

    Google Scholar 

  • Cho S (2010) Localization of the arbitrary deployed APs for indoor wireless location-based applications. IEEE Trans Consum Electron 56(2):532–539

    Article  Google Scholar 

  • Cho S, Choi Y (2009) Access point-less wireless location method based on peer-to-peer ranging of impulse radio ultra-wideband. IET-Radar Sonar Navig 4(5):733–743. doi:10.1049/iet-rsn.2009.0157

    Article  Google Scholar 

  • Cho S, Kim B (2012) Linear closed-form solution for wireless localisation with ultra-wideband/chirp spread spectrum signals based on difference of squared range measurements. IET-Wireless Sens Syst 3(4):255–265. doi:10.1049/iet-wss.2012.0159

    Article  Google Scholar 

  • Cho S, Yun S (2009) Efficient fingerprint db generation method for indoor wireless location using the environment analysis Tool. ION 2009 International Technical Meeting pp 793–797

    Google Scholar 

  • Huerta J, Vidal J (2009) Joint particle filter and UKF position tracking in severe non-line-of-sight situations. IEEE J Sel Top Sign Proces 3(5):874–888

    Article  Google Scholar 

  • Kolodziej K, Hjelm J (2006) Local positioning systems: LBS applications and services. Taylor & Francis Group, Baco Raton, FL

    Google Scholar 

  • Li X, Jilkov V (2003) Survey of maneuvering target tracking. part I: dynamic models. IEEE Trans Aerosp Electron Syst 39(4):1333–1364

    Article  Google Scholar 

  • Li B, Wang Y, Lee H, Dempster A, Rizos C (2005) Method for yielding a database of location fingerprints in WLAN. IEE Proc-Commun 152(5):580–586

    Article  Google Scholar 

  • Whitehouse K, Karlof C, Culler D (2007) A practical evaluation of radio signal strength for ranging-based localization. Mob Comput Commun Rev 11(1):41–52

    Article  Google Scholar 

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Correspondence to Seong Yun Cho .

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Cho, S.Y. (2015). Range Domain IMM Filtering with Additional Signal Attenuation Error Mitigation of Individual Channels for WLAN RSSI-Based Position-Tracking. In: Gartner, G., Huang, H. (eds) Progress in Location-Based Services 2014. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-11879-6_7

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