@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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M.","Poulliat, C.","Boucheret, M."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["S."],"propositions":[],"lastnames":["Şahin"],"suffixes":[]},{"firstnames":["A.","M."],"propositions":[],"lastnames":["Cipriano"],"suffixes":[]},{"firstnames":["C."],"propositions":[],"lastnames":["Poulliat"],"suffixes":[]},{"firstnames":["M."],"propositions":[],"lastnames":["Boucheret"],"suffixes":[]}],"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","bibtex":"@InProceedings{8553517,\n author = {S. Şahin and A. M. Cipriano and C. Poulliat and M. Boucheret},\n booktitle = {2018 26th European Signal Processing Conference (EUSIPCO)},\n title = {Iterative Equalization Based on Expectation Propagation: A Frequency Domain Approach},\n year = {2018},\n pages = {932-936},\n 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. 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