DocumentCode
3178282
Title
Estimation of an asymptotically stationary AR channel using fBm based LMS algorithm
Author
Gupta, Anubha ; Joshi, ShivDutt
Author_Institution
Signal Process. & Commun. Res. Center, Int. Inst. of Inf. Technol.-Hyderabad, Hyderabad, India
fYear
2012
fDate
22-25 July 2012
Firstpage
1
Lastpage
5
Abstract
This paper evaluates the performance of the fBm based variable step-size LMS algorithm on the estimation of asymptotically stationary AR channels. We evaluate the steady-state mean-square weight error (MSWE) and compute the optimum step-size parameter. Simulation results are also presented to validate the theory.
Keywords
channel estimation; least mean squares methods; FB-VSLMS; MSWE; asymptotically stationary AR channel; channel estimation; fBm based variable step size LMS algorithm; optimum step size parameter; steady state mean square weight error; Channel estimation; Covariance matrix; Fading; Least squares approximation; Signal processing algorithms; Steady-state; Vectors; 1/f process; Variable step-size LMS algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications (SPCOM), 2012 International Conference on
Conference_Location
Bangalore
Print_ISBN
978-1-4673-2013-9
Type
conf
DOI
10.1109/SPCOM.2012.6290029
Filename
6290029
Link To Document