DocumentCode
3488278
Title
Gradient-Based Variable Forgetting Factor RLS Algorithm in MIMO-OFDM Channel Estimation
Author
Lan Hai-yan ; Yang Shen-yuan ; Tan Feng ; Zhao Li-quan
Author_Institution
Coll. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin
fYear
2007
fDate
21-25 Sept. 2007
Firstpage
468
Lastpage
471
Abstract
This paper proposed a gradient-based variable forgetting factor RLS (GVFF-RLS) algorithm in MIMO-OFDM channel estimation. This GVFF-RLS algorithm is preferable to the traditional RLS algorithm, which is based on the fixed forgetting factor in tracking system variation in time-varying system. After simulation, we can draw a conclusion that in time- varying system, this algorithm has faster tracking ability, less MSE and better astringency.
Keywords
MIMO communication; OFDM modulation; channel estimation; MIMO-OFDM channel estimation; RLS algorithm; gradient-based variable forgetting factor; time-varying system; tracking system variation; Channel estimation; Decoding; Hydrogen; MIMO; OFDM; Receiving antennas; Resonance light scattering; Space technology; Transmitters; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1311-9
Type
conf
DOI
10.1109/WICOM.2007.123
Filename
4339898
Link To Document