DocumentCode :
3433192
Title :
Minimum mean square error turbo equalization of doubly selective channels using the BEM
Author :
Barhumi, Imad
Author_Institution :
Fac. of Eng., United Arab Emirates Univ., Al-Ain, United Arab Emirates
fYear :
2012
fDate :
2-5 July 2012
Firstpage :
951
Lastpage :
955
Abstract :
In this paper, linear minimum mean square error (LMMSE) turbo equalization for transmission over doubly selective channels is proposed for single carrier (SC) as well as for multi-carrier (MC) systems. The complex exponential basis expansion model (CE-BEM) is used to approximate the time-varying multi-path fading channel. In this BEM, the time-varying channel is viewed as a bank of time-invariant FIR filters and the time-variation is captured by means of time-varying complex exponential basis functions. Based on the Gaussian approximation, exact expressions for the a-priori, a-posteriori and extrinsic information are derived for QPSK modulation. The MC system is implemented using orthogonal frequency-division multiplexing (OFDM). The performance of the proposed turbo equalization schemes are evaluated using numerical simulations.
Keywords :
FIR filters; Gaussian processes; OFDM modulation; approximation theory; channel coding; fading channels; least mean squares methods; multipath channels; numerical analysis; quadrature phase shift keying; time-varying channels; turbo codes; CE-BEM; Gaussian approximation; LMMSE turbo code equalization; MC system; OFDM; QPSK modulation; SC system; a-posteriori information; a-priori information; doubly selective channel; extrinsic information; linear minimum mean square error turbo equalization scheme; multicarrier system; numerical simulation; orthogonal frequency-division multiplexing; single carrier system; time-invariant FIR filter; time-varying complex exponential basis function model; time-varying multipath fading channel; Covariance matrix; Decoding; Detectors; Equalizers; Frequency domain analysis; OFDM; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science, Signal Processing and their Applications (ISSPA), 2012 11th International Conference on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-0381-1
Electronic_ISBN :
978-1-4673-0380-4
Type :
conf
DOI :
10.1109/ISSPA.2012.6310692
Filename :
6310692
Link To Document :
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