DocumentCode :
2890378
Title :
Improved Decision-Directed Recursive Least Squares MIMO Channel Tracking
Author :
Eitel, Emna ; Salem, Rana H Ahmed ; Speidel, Joachim
Author_Institution :
Inst. of Telecommun., Univ. of Stuttgart, Stuttgart, Germany
fYear :
2009
fDate :
14-18 June 2009
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents a comparative study of different Recursive Least Squares algorithms to track a Rayleigh flat fading MIMO channel. We investigate the effect of the initialization and training of these algorithms on their performance. We propose a new training scheme which can deliver a lower mean squared estimation error without loss of bandwidth efficiency.
Keywords :
MIMO communication; Rayleigh channels; least mean squares methods; recursive estimation; MIMO channel tracking; Rayleigh flat fading MIMO channel; bandwidth efficiency; decision-directed recursive least square algorithm; lower mean squared estimation error; Adaptive filters; Bandwidth; Channel estimation; Convergence; Delay; Frequency; Least squares methods; MIMO; Resonance light scattering; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2009. ICC '09. IEEE International Conference on
Conference_Location :
Dresden
ISSN :
1938-1883
Print_ISBN :
978-1-4244-3435-0
Electronic_ISBN :
1938-1883
Type :
conf
DOI :
10.1109/ICC.2009.5199071
Filename :
5199071
Link To Document :
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