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
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