Wireless location estimation using generalized linear models

Amran, Prihamdhani P. (2004) Wireless location estimation using generalized linear models. Masters thesis, Iowa State University.

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Abstract

We propose maximum likelihood (ML) methods for location estimation using received-signalstrength (RSS) and time-of-arrival (TOA) measurements. In the RSS case, we utilize both spatial and temporal measurements where the multipath fading effects are modeled using a Nakagami-m (gamma) fading model. We also propose to model the TOA measurement errors using the gamma distribution characteristic. We also derive Cram´er-Rao bound (CRB) for the estimated location under both measurement scenarios. Simulation results show that the proposed algorithms outperform the commonly-used least-squares methods.

EPrint Type:	Thesis (Masters)
Subjects:	Electrical Engineering > COMMUNICATION & SIGNAL PROCESSING > Wireless Communications
ID Code:	83
Identification Number:	Identification Number UNSPECIFIED
Deposited By:	Prihamdhani P. Amran
Deposited On:	17 July 2004

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