DocumentCode :
3617980
Title :
Signal-strength based localization in wireless fading channels
Author :
A. Dogandzic;P.P. Amran
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
Volume :
2
fYear :
2004
fDate :
6/26/1905 12:00:00 AM
Firstpage :
2160
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 Cramer-Rao bounds (CRBs) for the location parameters and discuss initialization of the proposed algorithms. Numerical simulations demonstrate the performance of our estimators.
Keywords :
"Fading","Rayleigh channels","Maximum likelihood estimation","Radio frequency","Wireless sensor networks","Acoustic measurements","Shadow mapping","Cellular networks","Attenuation","Position measurement"
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
Print_ISBN :
0-7803-8622-1
Type :
conf
DOI :
10.1109/ACSSC.2004.1399549
Filename :
1399549
Link To Document :
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