DocumentCode
2537564
Title
Turbo Receiver Design with Carrier-Frequency Offset Estimation for LDPC-Coded MIMO OFDM Systems
Author
Salari, S. ; Ardebilipour, M. ; Ahmadian, M. ; Cances, J.-P. ; Meghdadi, V.
Author_Institution
Fac. of Electr. Eng., KN Toosi Univ. of Technol., Tehran
Volume
3
fYear
2007
fDate
12-14 Feb. 2007
Firstpage
1911
Lastpage
1915
Abstract
This paper proposes an iterative maximum a posteriori probability (MAP) receiver for low-density parity-check (LDPC)-coded multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems with the presence of carrier-frequency offset (CFO). The turbo receiver employs the expectation maximization (EM) algorithm so as to improve the performance of the approximated MAP detection, and applies a pilot-aided CFO estimator which can work well with the EM algorithm. Simulation results show the effectiveness of our turbo receiver design in combating CFO over unknown frequency selective fading channels.
Keywords
MIMO communication; OFDM modulation; expectation-maximisation algorithm; fading channels; frequency estimation; parity check codes; LDPC-coded MIMO OFDM systems; carrier-frequency offset estimation; expectation maximization algorithm; frequency selective fading channels; iterative maximum a posteriori probability; low-density parity-check code; multiple-input multiple-output system; orthogonal frequency division multiplexing system; pilot-aided CFO estimator; turbo receiver design; AWGN; Decoding; Fading; MIMO; Modulation coding; OFDM; Parity check codes; Receivers; Remuneration; Wireless sensor networks; Carrier-frequency offset (CFO); low-density parity-check (LDPC) code; multiple-input multiple-output (MIMO); orthogonal frequency division multiplexing (OFDM); turbo receiver;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Communication Technology, The 9th International Conference on
Conference_Location
Gangwon-Do
ISSN
1738-9445
Print_ISBN
978-89-5519-131-8
Type
conf
DOI
10.1109/ICACT.2007.358744
Filename
4195546
Link To Document