Enhanced performance for LMMSE equalizer with factor graphs

Lijuan Zhang; Guifeng Wang; Minglu Jin; Jae Moung Kim; Sang Jo Yoo

doi:10.1109/ICTC.2017.8190995

Enhanced performance for LMMSE equalizer with factor graphs

Lijuan Zhang, Guifeng Wang, Minglu Jin, Jae Moung Kim, Sang Jo Yoo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, based on the application of the sum-product (SP) algorithm to factor graphs (FGs), we investigate two optimal equalization algorithms, i.e., unconstrained linear equalization and constrained linear equalization for intersymbol interference (ISI) channels, both of which use the criterion of LMMSE. From simulations we know, the MSE performance of these two algorithms is much better than that of the conventional adaptive LMS algorithm based on filters, especially at high SNR However, at low SNR this improvement is less obvious. So an improved algorithm is introduced in order to conquer this deficiency, simulation results show that the proposed algorithm can further achieve a remarkable reduction in MSE at low SNR.

Original language	English
Title of host publication	International Conference on Information and Communication Technology Convergence
Subtitle of host publication	ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	318-323
Number of pages	6
ISBN (Electronic)	9781509040315
DOIs	https://doi.org/10.1109/ICTC.2017.8190995
State	Published - 12 Dec 2017
Event	8th International Conference on Information and Communication Technology Convergence, ICTC 2017 - Jeju Island, Korea, Republic of Duration: 18 Oct 2017 → 20 Oct 2017

Publication series

Name	International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017
Volume	2017-December

Conference

Conference	8th International Conference on Information and Communication Technology Convergence, ICTC 2017
Country/Territory	Korea, Republic of
City	Jeju Island
Period	18/10/17 → 20/10/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Channel Equalization
Factor-Graphs
Linear Minimum Mean Squared Error (LMMSE)
the Sum-Product Algorithm (SPA)

Access to Document

10.1109/ICTC.2017.8190995

Cite this

Zhang, L., Wang, G., Jin, M., Kim, J. M., & Yoo, S. J. (2017). Enhanced performance for LMMSE equalizer with factor graphs. In International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017 (pp. 318-323). (International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017; Vol. 2017-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICTC.2017.8190995

Zhang, Lijuan ; Wang, Guifeng ; Jin, Minglu et al. / Enhanced performance for LMMSE equalizer with factor graphs. International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 318-323 (International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017).

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title = "Enhanced performance for LMMSE equalizer with factor graphs",

abstract = "In this paper, based on the application of the sum-product (SP) algorithm to factor graphs (FGs), we investigate two optimal equalization algorithms, i.e., unconstrained linear equalization and constrained linear equalization for intersymbol interference (ISI) channels, both of which use the criterion of LMMSE. From simulations we know, the MSE performance of these two algorithms is much better than that of the conventional adaptive LMS algorithm based on filters, especially at high SNR However, at low SNR this improvement is less obvious. So an improved algorithm is introduced in order to conquer this deficiency, simulation results show that the proposed algorithm can further achieve a remarkable reduction in MSE at low SNR.",

keywords = "Channel Equalization, Factor-Graphs, Linear Minimum Mean Squared Error (LMMSE), the Sum-Product Algorithm (SPA)",

author = "Lijuan Zhang and Guifeng Wang and Minglu Jin and Kim, {Jae Moung} and Yoo, {Sang Jo}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 8th International Conference on Information and Communication Technology Convergence, ICTC 2017 ; Conference date: 18-10-2017 Through 20-10-2017",

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doi = "10.1109/ICTC.2017.8190995",

language = "English",

series = "International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017",

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Zhang, L, Wang, G, Jin, M, Kim, JM & Yoo, SJ 2017, Enhanced performance for LMMSE equalizer with factor graphs. in International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017. International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017, vol. 2017-December, Institute of Electrical and Electronics Engineers Inc., pp. 318-323, 8th International Conference on Information and Communication Technology Convergence, ICTC 2017, Jeju Island, Korea, Republic of, 18/10/17. https://doi.org/10.1109/ICTC.2017.8190995

Enhanced performance for LMMSE equalizer with factor graphs. / Zhang, Lijuan; Wang, Guifeng; Jin, Minglu et al.
International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 318-323 (International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017; Vol. 2017-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Zhang, Lijuan

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Y1 - 2017/12/12

N2 - In this paper, based on the application of the sum-product (SP) algorithm to factor graphs (FGs), we investigate two optimal equalization algorithms, i.e., unconstrained linear equalization and constrained linear equalization for intersymbol interference (ISI) channels, both of which use the criterion of LMMSE. From simulations we know, the MSE performance of these two algorithms is much better than that of the conventional adaptive LMS algorithm based on filters, especially at high SNR However, at low SNR this improvement is less obvious. So an improved algorithm is introduced in order to conquer this deficiency, simulation results show that the proposed algorithm can further achieve a remarkable reduction in MSE at low SNR.

AB - In this paper, based on the application of the sum-product (SP) algorithm to factor graphs (FGs), we investigate two optimal equalization algorithms, i.e., unconstrained linear equalization and constrained linear equalization for intersymbol interference (ISI) channels, both of which use the criterion of LMMSE. From simulations we know, the MSE performance of these two algorithms is much better than that of the conventional adaptive LMS algorithm based on filters, especially at high SNR However, at low SNR this improvement is less obvious. So an improved algorithm is introduced in order to conquer this deficiency, simulation results show that the proposed algorithm can further achieve a remarkable reduction in MSE at low SNR.

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Zhang L, Wang G, Jin M, Kim JM, Yoo SJ. Enhanced performance for LMMSE equalizer with factor graphs. In International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 318-323. (International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017). doi: 10.1109/ICTC.2017.8190995

Enhanced performance for LMMSE equalizer with factor graphs

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Keywords

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