Title :
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
fDate :
Oct. 29 2006-Nov. 1 2006
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;
Conference_Titel :
Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
1-4244-0784-2
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2006.355139
