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.
WLAN RSSI Position-tracking Additional signal attenuation error mitigation
This is a preview of subscription content, log in to check access.
Ai-Jazzar S, Caffery J, You H (2002) A scattering model based approach to NLOS mitigation in TOA location systems. IEEE Veh Technol Conf 2:861–865Google 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):2034–2043CrossRefGoogle Scholar
Bar-Shalom Y, Challa S, Blom H (2005) IMM estimator versus optimal estimator for hybrid systems. IEEE Trnas Aerosp Electron Syst 41(3):986–991CrossRefGoogle Scholar
Brown R, Hwang P (1985) Introduction to random signals and applied kalman filtering. Wiley, New YorkGoogle Scholar
Cho S (2010) Localization of the arbitrary deployed APs for indoor wireless location-based applications. IEEE Trans Consum Electron 56(2):532–539CrossRefGoogle 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.2012.0159CrossRefGoogle 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 793–797Google 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):874–888CrossRefGoogle Scholar
Kolodziej K, Hjelm J (2006) Local positioning systems: LBS applications and services. Taylor & Francis Group, Baco Raton, FLGoogle Scholar
Li X, Jilkov V (2003) Survey of maneuvering target tracking. part I: dynamic models. IEEE Trans Aerosp Electron Syst 39(4):1333–1364CrossRefGoogle 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):580–586CrossRefGoogle 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):41–52CrossRefGoogle Scholar