Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004
Pacific Grove, California
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.
Aleksandar Dogandžić and Prihamdhani P. Amran
Dogandžić, Aleksandar and Amran, Prihamdhani P., "Signal-Strength Based Localization in Wireless Fading Channels" (2004). Electrical and Computer Engineering Conference Papers, Posters and Presentations. 5.