Low Complexity Joint Channel Estimation and Decoding for LDPC Coded MIMO-OFDM Systems

Author

Xu, Xiang ; Mathar, Rudolf

Author_Institution

Inst. for Theor. Inf. Technol., RWTH Aachen Univ., Aachen, Germany

fYear

2011

fDate

15-18 May 2011

Firstpage

1

Lastpage

5

Abstract

In this paper, a joint iterative channel estimation and low-density parity-check (LDPC) decoding algorithm based on factor graphs and the sum-product algorithm is proposed for orthogonal frequency division multiplexing (OFDM) systems employing multiple transmit and receive antennas (MIMO). By modeling time-varying frequency-selective fading channels as autoregressive processes and approximating messages as Gaussian pdf, this receiver algorithm is able to maintain a low complexity. Moreover, with the help of strong channel coding and proper pilot allocation, the signal overhead can be significantly reduced.

Keywords

MIMO communication; OFDM modulation; antenna arrays; channel coding; channel estimation; fading channels; graph theory; iterative methods; parity check codes; receiving antennas; time-varying channels; transmitting antennas; Gaussian pdf; LDPC coded MIMO-OFDM systems; MIMO; autoregressive processes; channel coding; factor graphs; joint iterative channel estimation; low-density parity-check decoding algorithm; multiple receive antennas; multiple transmit antennas; orthogonal frequency division multiplexing; pilot allocation; sum-product algorithm; time-varying frequency-selective fading channels; Channel estimation; Correlation; Iterative decoding; OFDM; Receivers; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference (VTC Spring), 2011 IEEE 73rd

Conference_Location

Budapest

ISSN

1550-2252

Print_ISBN

978-1-4244-8332-7

Type

conf

DOI

10.1109/VETECS.2011.5956229

Filename

5956229