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Optimization of Kalman Filtering Performance in Received Signal Strength Based Mobile Positioning pp. 1-42 $100.00
Authors:  (J.G. Markoulidakis, Vodafone-Panafon, Technology Strategic Planning, R&D Dept., Tzavella, Halandri, Greece)
Abstract:
The current paper considers the problem of Mobile Terminal (MT) positioning based
on a time series of Received Signal Strength (RSS) measurements and provides statistical
estimators of the MT- Base Station (BS) distance which substantially improve the MT
positioning accuracy. The set of MT-BS distance estimators defined for optimizing RSS
based positioning developed in [1] is used as a basis. The problem that is analyzed refers
to the adaptation of these estimators to the presence of Kalman filtering in the MT
position calculation process. Three different Kalman filtering options can be applied at
different stages of the MT position calculation process [2]: (a) RSS Kalman filtering, (b)
MT-BS distance Kalman filtering and (c) MT position coordinates Kalman filtering. To
identify the optimal MT-BS distance estimators at the presence of Kalman filtering a
method exploiting the characteristics of the steady state Kalman filter performance is
developed. This novel method allows for the definition of refined MT-BS distance
estimators matching the nature of the Kalman filter process. The results indicate that the
resulting estimators provide good efficiency for all Kalman Filter options. 


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Optimization of Kalman Filtering Performance in Received Signal Strength Based Mobile Positioning pp. 1-42