Document Type

Conference Proceeding

Conference

Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004

Publication Date

11-2004

DOI

10.1109/ACSSC.2004.1399549

City

Pacific Grove, California

Abstract

We develop maximum likelihood (ML) methods for location estimation using spatio-temporal received-signal strength (RSS) measurements in wireless fading channels. Fading and composite fading-shadowing scenarios with completely unknown and partially known source signals are considered. We adopt gamma (Nakagami-m) and lognormal models to describe fading and shadowing effects, respectively. We also derive Cram´er-Rao bounds (CRBs) for the location parameters and discuss initialization of the proposed algorithms. Numerical simulations demonstrate the performance of our estimators.

Comments

This is a manuscript of a proceeding in Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004: 2160. Posted with permission.

Copyright Owner

Aleksandar Dogandžić and Prihamdhani P. Amran

Language

en

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