An Improved Time-of-Arrival Estimation for WLAN-Based Local Positioning

Local positioning, particularly in indoor environments, poses challenges that are not faced by global and terrestrial positioning systems. Many a times, it is cost effective to build these localization schemes on the existing wireless local area networks (WLANs). This paper presents a novel time-of-arrival estimation technique for IEEE 802.11a WLAN system, which provides better accuracy than the traditional correlation-based scheme.

[1]  Andrew R Nix,et al.  A comparison of the HIPERLAN/2 and IEEE 802.11a wireless LAN standards , 2002, IEEE Commun. Mag..

[2]  J. Coleman.  Candidate selection , 2000 .

[3]  F. Gustafsson,et al.  Mobile positioning using wireless networks: possibilities and fundamental limitations based on available wireless network measurements , 2005, IEEE Signal Processing Magazine.

[4]  Martin Stuart Wilcox.  Techniques for predicting the performance of Time-of-Flight based local positioning systems , 2005 .

[5]  Julius O. Smith,et al.  Closed-form least-squares source location estimation from range-difference measurements , 1987, IEEE Trans. Acoust. Speech Signal Process..

[6]  Ahmad Hatami.  Application of Channel Modeling for Indoor Localization Using TOA and RSS , 2006 .

[7]  Fredrik Gustafsson,et al.  Mobile Positioning Using Wireless Networks , 2005 .

[8]  Didier Le Ruyet,et al.  Channel Tracking Using Particle Filtering in Unresolvable Multipath Environments , 2004, EURASIP J. Adv. Signal Process..

[9]  Wei Guo,et al.  Signal Processing Techniques in Network- Aided Positioning , 2005 .

[10]  Liuqing Yang,et al.  Timing ultra-wideband signals with dirty templates , 2005, IEEE Transactions on Communications.

[11]  D. Hernandez,et al.  Maximum likelihood time of arrival estimation for real-time physical location tracking of 802.11a/g mobile stations in indoor environments , 2004, PLANS 2004. Position Location and Navigation Symposium (IEEE Cat. No.04CH37556).

[12]  A.H. Sayed,et al.  Network-based wireless location: challenges faced in developing techniques for accurate wireless location information , 2005, IEEE Signal Processing Magazine.

[13]  Abdul Rahim Leyman,et al.  UWB precision geolocation using FFT interpolation , 2005, 2005 13th European Signal Processing Conference.

[14]  Jiunn-Tsair Chen,et al.  Mobile position location using factor graphs , 2003, IEEE Communications Letters.

[15]  Peter Langendörfer,et al.  An Indoor Localization System Based on DTDOA for Different Wireless LAN , 2006 .

[16]  Fredrik Gustafsson,et al.  Positioning using time-difference of arrival measurements , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[17]  Fredrik Gustafsson,et al.  Particle filters for positioning in wireless networks , 2002, 2002 11th European Signal Processing Conference.

[18]  David Bull,et al.  A comparison of HIPERLAN/2 and IEEE 802.11a physical and MAC layers , 2000, IEEE Benelux Chapter on Vehicular Technology and Communications. Symposium on Communications and Vehicular Technology. SCVT-2000. Proceedings (Cat. No.00EX465).

[19]  William H. Tranter,et al.  Principles of Communication Systems Simulation with Wireless Applications , 2004 .

[20]  PROCEssIng magazInE.  IEEE Signal Processing Magazine , 2004 .