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An enhanced received signal level cellular location determination method via maximum likelihood and Kalman filtering

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3 Author(s)
Papageorgiou, I.G. ; Univ. of Cyprus, Nicosia, Albania ; Charalambous, C.D. ; Panaviotou, C.

The paper presents a new two-step cellular location determination (CLD) method based on signal strength and wave scattering models. The received signal level (RSL) method is first used in combination with maximum likelihood estimation (MLE) and triangulation to obtain an estimate of the location of the mobile. Due to non line of sight (NLOS) conditions and multipath propagation, this estimate lacks acceptable accuracy and consistency for demanding services, as numerical simulations reveal. Thus, the wave scattering 3D multipath channel model of Aulin is employed together with extended Kalman filtering (EKF) to obtain improved location estimates with high accuracy. The EKF is initialized at the MLE obtained from the RSL method, which is proved to be highly appropriate. Numerical simulations under urban, suburban and rural environments were utilized to evaluate the accuracy and consistency of the proposed two-step enhanced RSL method; the results of the worst-case rural environment are presented.

Published in:

Wireless Communications and Networking Conference, 2005 IEEE  (Volume:4 )

Date of Conference:

13-17 March 2005