Accurate and integrated localization system for indoor environments based on IEEE 802.11 round-trip time measurements

Authors:
Alfonso Bahillo;Santiago Mazuelas;Rubén Mateo Lorenzo;Patricia Fernández;Javier Prieto;Ramón José Durán;Evaristo José Abril
Affiliations:
Center for the Development of Telecommunications, Boecillo, Spain;Center for the Development of Telecommunications, Boecillo, Spain;Department of Signal Theory and Communications and Telematic Engineering, University of Valladolid, Valladolid, Spain;Department of Signal Theory and Communications and Telematic Engineering, University of Valladolid, Valladolid, Spain;Department of Signal Theory and Communications and Telematic Engineering, University of Valladolid, Valladolid, Spain;Department of Signal Theory and Communications and Telematic Engineering, University of Valladolid, Valladolid, Spain;Department of Signal Theory and Communications and Telematic Engineering, University of Valladolid, Valladolid, Spain
Venue:
EURASIP Journal on Wireless Communications and Networking
Year:
2010

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Abstract

The presence of (Non line of Sight) NLOS propagation paths has been considered the main drawback for localization schemes to estimate the position of a (Mobile User) MU in an indoor environment. This paper presents a comprehensive wireless localization system based on (Round-Trip Time) RTT measurements in an unmodified IEEE 802.11 wireless network. It overcomes the NLOS impairment by implementing the (Prior NLOS Measurements Correction) PNMC technique. At first, the RTT measurements are performed with a novel electronic circuit avoiding the need for time synchronization between wireless nodes. At second, the distance between the MU and each reference device is estimated by using a simple linear regression function that best relates the RTT to the distance in (Line of Sight) LOS. Assuming that LOS in an indoor environment is a simplification of reality hence, the PNMC technique is applied to correct the NLOS effect. At third, assuming known the position of the reference devices, a multilateration technique is implemented to obtain the MU position. Finally, the localization system coupled with measurements demonstrates that the system outperforms the conventional time-based indoor localization schemes without using any tracking technique such as Kalman filters or Bayesian methods.