Signal-Strength Based Localization in Wireless Fading ChannelsElectrical and Computer Engineering Conference Papers, Posters and Presentations
Document TypeConference Proceeding
ConferenceConference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004
AbstractWe 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.
Copyright OwnerAleksandar Dogandžić and Prihamdhani P. Amran
Citation InformationAleksandar Dogandžić and Prihamdhani P. Amran. "Signal-Strength Based Localization in Wireless Fading Channels" Pacific Grove, California(2004)
Available at: http://works.bepress.com/aleksandar_dogandzic/31/