Iterative Equalization Based on Expectation Propagation: A Frequency Domain Approach. Şahin, S., Cipriano, A. M., Poulliat, C., & Boucheret, M. In 2018 26th European Signal Processing Conference (EUSIPCO), pages 932-936, Sep., 2018. Paper doi abstract bibtex A novel single-carrier frequency domain equalization (SC-FDE) scheme is proposed, by extending recent developments in iterative receivers that use expectation propagation (EP), a message passing formalism for approximate Bayesian inference. Applying EP on the family of white multivariate Gaussian distributions allows deriving double-loop frequency domain receivers with single-tap equalizers. This structure enables low computational complexity implementation via Fast-Fourier transforms (FFT). Self-iterations between the equalizer and the demapper and global turbo iterations with the channel decoder provide numerous combinations for the performance and complexity trade-off. Numerical results show that the proposed structure outperforms alternative single-tap FDEs and that its achievable rates reach the channel symmetric information rate.
@InProceedings{8553517,
author = {S. Şahin and A. M. Cipriano and C. Poulliat and M. Boucheret},
booktitle = {2018 26th European Signal Processing Conference (EUSIPCO)},
title = {Iterative Equalization Based on Expectation Propagation: A Frequency Domain Approach},
year = {2018},
pages = {932-936},
abstract = {A novel single-carrier frequency domain equalization (SC-FDE) scheme is proposed, by extending recent developments in iterative receivers that use expectation propagation (EP), a message passing formalism for approximate Bayesian inference. Applying EP on the family of white multivariate Gaussian distributions allows deriving double-loop frequency domain receivers with single-tap equalizers. This structure enables low computational complexity implementation via Fast-Fourier transforms (FFT). Self-iterations between the equalizer and the demapper and global turbo iterations with the channel decoder provide numerous combinations for the performance and complexity trade-off. Numerical results show that the proposed structure outperforms alternative single-tap FDEs and that its achievable rates reach the channel symmetric information rate.},
keywords = {approximation theory;Bayes methods;channel coding;communication complexity;decoding;equalisers;fast Fourier transforms;frequency-domain analysis;Gaussian distribution;inference mechanisms;iterative methods;message passing;telecommunication computing;expectation propagation;fast-Fourier transforms;single-carrier frequency domain equalization scheme;alternative single-tap FDE;SC-FDE scheme;FFT;channel decoder;channel symmetric information rate;low computational complexity implementation;single-tap equalizers;double-loop frequency domain receivers;white multivariate Gaussian distributions;approximate Bayesian inference;message passing formalism;EP;iterative receivers;iterative equalization;global turbo iterations;Receivers;Equalizers;Decoding;Frequency-domain analysis;Message passing;Gaussian distribution;Damping},
doi = {10.23919/EUSIPCO.2018.8553517},
issn = {2076-1465},
month = {Sep.},
url = {https://www.eurasip.org/proceedings/eusipco/eusipco2018/papers/1570437281.pdf},
}
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