Target Localisation in Indoor Environment using Channel Response of WLAN

Bhavin Changela, A. V. Parekh Technical Institute, Rajkot; Mehul Vala ,S. S. Engineering College, Bhavnagar; Rahul Vala ,Government Engineering College, Rajkot; Piyush Dalsaniya ,A. V. Parekh Technical Institute, Rajkot

GPS, Localisation, OFDM, RSSI, WiFi

Indoor positioning systems have received increasing attention for supporting location-based services in indoor environments. Indoor localization technologies address the inadequacy of global positioning system inside a closed environment, like buildings. GPS does not perform well in urban canyons, close to walls, buildings, trees, indoors, and in underground environments as the signal from the GPS satellites is too weak to come across most buildings thus making GPS ineffective for indoor localization Although there are many radio based technologies that can be used for indoor positioning, WiFi-based indoor localization has been attractive due to its open access and no overhead cost properties. Received Signal Strength Indicator (RSSI) has been adopted in vast indoor localization systems. However, it suffers from dramatic performance degradation in complex situations due to multipath fading and temporal dynamics. The distance estimation based on received signal strength indicator (RSSI) is easily affected by the temporal and spatial variance due to the multipath effect, which contributes to most of the estimation errors in current systems. Channel state information is detail Channel response at subcarrier level. CSI explore the frequency diversity of the subcarriers in orthogonal frequency division multiplexing systems. A novel approach is proposed to utilise Chanel state information to build propagation model and a fingerprinting system at the receiver.
    [1] C. di Flora and M. Ficco, “Indoor and outdoor location based services for portable wireless devices,” … Work. 2005. 25th …, 2005. [2] Y. Liu, Z. Yang, X. Wang, and L. Jian, “Location, Localization, and Localizability,” J. Comput. Sci. Technol., vol. 25, no. 2, pp. 274–297, Mar. 2010. [3] V. Honkavirta and T. Perala, “A comparative survey of WLAN location fingerprinting methods,” IEEE WPNC 2009. …, vol. 2009, pp. 243–251, 2009. [4] Y. Gu, A. Lo, S. Member, and I. Niemegeers, “A Survey of Indoor Positioning Systems for Wireless Personal Networks,” IEEE Commun. Surv., vol. 11, no. 1, pp. 13–32, 2009. [5] Z. Farid, R. Nordin, and M. Ismail, “Recent Advances in Wireless Indoor Localization Techniques and System,” J. Comput. Networks Commun., vol. 2013, pp. 1–12, 2013. [6] D. Halperin, W. Hu, A. Sheth, and D. Wetherall, “Tool release: gathering 802.11 n traces with channel state information,” ACM SIGCOMM Comput. …, vol. 41, no. 1, p. 2011, 2011. [7] L. Hanzo and J. Akhtman, “MIMO-OFDM for LTE, Wi-Fi and WiMAX,” A John Wiley Sons, …, 2011. [8] C. Beder and M. Klepal, “Fingerprinting based localisation revisited,” … indoor Position. indoor Navig., no. November, pp. 13–15, 2012. [9] M. Youssef and A. Agrawala, “The Horus WLAN Location Determination System Wireless Channel Characteristics,” ACM, pp. 205–218, 2005. [10] A. Siddig, A. Makki, and C. Bleakley, “Lighthouse: Precise 802.11-based localization,” Indoor Position. Indoor …, no. October, pp. 28–31, 2013. [11] D. Halperin, W. Hu, A. Sheth, and D. Wetherall, “Predictable 802.11 packet delivery from wireless channel measurements,” ACM SIGCOMM Comput. …, pp. 1–12, 2011. [12] G. Lui, T. Gallagher, B. Li, A. G. Dempster, and C. Rizos, “Differences in RSSI Readings Made by Different Wi- Fi Chipsets : A Limitation of WLAN Localization,” pp. 53–57, 2011. [13] K. Heurtefeux, “Is RSSI a good choice for localization in Wireless Sensor Network ?,” 2012. [14] W. Paper, “802. 11n : Next-Generation Wireless LAN Technology,” Technology, no. April, 2006. [15] IEEE, “IEEE Standard for Information technology--Telecommunications and information exchange between systems Local and metropolitan area networks--Specific requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications,” IEEE Std 802.11-2012 (Revision of IEEE Std 802.11-2007), vol. 2012, no. March. p. 2793, 2012. [16] P. Bahl and V. N. Padmanabhan, “RADAR: an in-building RF-based user location and tracking system,” Proc. IEEE INFOCOM 2000. Conf. Comput. Commun. Ninet. Annu. Jt. Conf. IEEE Comput. Commun. Soc. (Cat. No.00CH37064), vol. 2, pp. 775–784. [17] X. Liu, W. Hu, Q. Pu, F. Wu, and Y. Zhang, “Parcast: soft video delivery in mimo-ofdm wlans,” Proc. 18th Annu. …, pp. 233–244, 2012
Paper ID: GRDJEV01I070044
Published in: Volume : 1, Issue : 7
Publication Date: 2016-07-01
Page(s): 36 - 43