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-L_q 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