Iterative Extended Soft-RLS Algorithm for Joint Channel and Frequency Offset Estimation for Coded MIMO-OFDM Systems

Author

Kim, Kyeong Jin ; Bhatt, Tejas ; Iltis, Ronald A.

Author_Institution

Nokia Inc., Irvine, TX

fYear

2006

fDate

Oct. 29 2006-Nov. 1 2006

Firstpage

2107

Lastpage

2111

Abstract

In this paper, we propose an iterative extended soft- RLS (IES-RLS) algorithm for a joint channel and frequency offset estimation for the coded MIMO-OFDM system. In this system, the a posteriori probability for the information bit computed from the channel decoder is used in the MIMO data detector, whose coded soft symbol decision is used in the proposed IES-RLS algorithm. To develop a feasible algorithm, the first order linearization with respect to channel parameters is used. Performance of the IES-RLS algorithm is verified with the Turbo and irregular LDPC codes.

Keywords

MIMO communication; OFDM modulation; channel estimation; frequency estimation; iterative methods; least mean squares methods; probability; a posteriori probability; channel estimation; coded MIMO-OFDM system; first order linearization; frequency offset estimation; iterative extended soft-RLS algorithm; recursive least-square method; Bit error rate; Decoding; Detectors; Frequency estimation; Iterative algorithms; MIMO; OFDM; Parity check codes; Receiving antennas; Transmitting antennas;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

1-4244-0784-2

Electronic_ISBN

1058-6393

Type

conf

DOI

10.1109/ACSSC.2006.355139

Filename

4176949