DOI: 10.1109/acssc.2004.1399549
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Abstract: AbstractWe develop maximum likelihood (ML) methods for location estimation using spatio-temporal receivedsignal 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 algor…

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