DocumentCode :
2420555
Title :
Order-Extended Sparse RLS Algorithm for Doubly-Selective MIMO Channel Estimation
Author :
Koike-Akino, Toshiaki ; Molisch, Andreas F. ; Pun, Man-On ; Annavajjala, Ramesh ; Orlik, Philip
Author_Institution :
Mitsubishi Electr. Res. Labs. (MERL), Cambridge, MA, USA
fYear :
2011
fDate :
5-9 June 2011
Firstpage :
1
Lastpage :
6
Abstract :
We develop a recursive least-squares (RLS) algorithm which employs L1-Lq regularized sparse regressions to estimate a sparse channel matrix in frequency-and-time selective fading for multi-input multi-output (MIMO) wireless communications. We propose an improved sparse RLS by using an order extension technique for rapid fading channels. Simulation results demonstrate that the proposed sparse RLS algorithm offers a significant improvement over the conventional RLS algorithm.
Keywords :
MIMO communication; channel estimation; fading channels; least squares approximations; recursive estimation; regression analysis; doubly-selective MIMO channel estimation; frequency selective fading; order-extended sparse RLS algorithm; recursive least square algorithm; regularized sparse regressions; sparse channel matrix estimation; time selective fading; Channel estimation; Estimation; Fading; MIMO; Signal processing algorithms; Signal to noise ratio; Sparse matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2011 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1550-3607
Print_ISBN :
978-1-61284-232-5
Electronic_ISBN :
1550-3607
Type :
conf
DOI :
10.1109/icc.2011.5963228
Filename :
5963228
Link To Document :
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