DocumentCode
2606135
Title
An optimal windowed recursive least squares algorithm for fading channel estimation
Author
Lin, Jingdong ; Ling, Fuyun ; Proakis, John G.
Author_Institution
Dept. of ECE, Northeastern Univ., Boston, MA, USA
fYear
1993
fDate
3-6 May 1993
Firstpage
734
Abstract
An optimal windowed recursive least squares algorithm is proposed for fading channel estimation. The basic idea is to optimize the window shape of an arbitrary windowed recursive least squares algorithm according to statistical knowledge of a fading channel. Significant improvement on estimation quality over the exponential windowed recursive least squares (EW-RLS) algorithm is illustrated with a fading channel based on Jakes´ model. Simulation is performed to confirm the theory
Keywords
fading; least squares approximations; recursive estimation; time-varying channels; Jakes´ model; estimation quality; fading channel estimation; statistical knowledge; window shape; windowed recursive least squares algorithm; AWGN; Channel estimation; Fading; Least squares approximation; Least squares methods; Multiaccess communication; Recursive estimation; Research and development; Shape; Time division multiple access;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location
Chicago, IL
Print_ISBN
0-7803-1281-3
Type
conf
DOI
10.1109/ISCAS.1993.393826
Filename
393826
Link To Document