A Robust and Adaptive Line Echo Canceller

Wenhong Liu

doi:doi:10.11648/j.jeee.20160403.17

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A Robust and Adaptive Line Echo Canceller

Wenhong Liu

Published in Journal of Electrical and Electronic Engineering (Volume 4, Issue 3)

Received: 14 July 2016 Accepted: Published: 15 July 2016

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Abstract

In the actual communication system, the line echo is a frequent problem, so the line echo canceller is necessary. Traditionally, the cancellers are designed according to line noises based on the Gaussian noise model. However, the noises do not obey the Gaussian distribution; therefore the performances of algorithms decrease, even cannot be used. In order to solve this problem, this paper proposes a line echo canceller based on alpha stable distribution model. The Method in this line echo canceller has Robust and Adaptive. Alpha stable distribution modeling impulse noise, and under the rule of minimum average p norm, adaptive time delay estimator offsets the echo. This method can not only effectively offset the line echo with the Gaussian noise, but also to have the effect of good to echo with impulse noise. Theoretical analysis and computer simulation experiments show that it is very kind of the line echo canceller. It is robust to impulse noises and adaptive to echo cancellation.

Published in	Journal of Electrical and Electronic Engineering (Volume 4, Issue 3)
DOI	10.11648/j.jeee.20160403.17
Page(s)	78-82
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Communication System, Line Echo Canceller, Alpha Stable Distribution, Adaptive Time Delay Estimator, Minimum Average p Norm

References

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[2]	Song Aimin. New Algorithms for Time Delay Estimation and Beam forming under Stable Distribution Noise [D]. Dalian University of Technology, 2015.
[3]	Cai Ping. Research on Algorithms of Adaptive Echo Cancellation [D], [Dissertation]. Southeast University, 2007.
[4]	Bao Weihua. Study on Echo cancellation technique in the environment of mobile communication [D]. [Dissertation], Heibei University, 2014.
[5]	Nikias C L, Shao M. Signal Processing with Alpha-stable Distributions [M]. New York: John Wiley & Sons Inc, 1995.
[6]	Bao Weihua. Study on Echo Cancellation Technique in the environment of mobile communication [D]. Hebei University, 2014.
[7]	Wada, Ted S. Enhancement of residual echo for robust acoustic echo cancellation [J]. IEEE Transactions on Audio, Speech and Language Processing, 2012, 20(1): 163-177.
[8]	Sondhi M M. An adaptive echo canceller [J]. Bell syst. Tech. J., 1967, 46.
[9]	Shimauchi, Suehiro, Haneda, et al.. Frequency domain adaptive algorithm with nonlinear function of error-to-reference ratio for double-talk robust echo cancellation [J]. Acoustical Science and Technology, 2005, 26(1): 8-15.
[10]	Rajan, Adithya, Tepedelenlioglu, Cihan. Diversity combining over Rayleigh fading channels with symmetric alpha-stable noise [J]. IEEE Transactions on Wireless Communications, 2010, 9(9): 2968-2976.
[11]	TangHong, Li Ting, Qiu, Tian-shuang, et al. Constant modulus algorithm for cochannel signal separation in non-gaussian impulsive noise environments [J]. Wireless Personal Communications, 2010, 54(4): 591-604.
[12]	Liu Wen-hong. Robust Time Delay Estimation and Application in Evoked Potential Latency Delay Detection [D]. [Dissertation], Fudan University, 2009.
[13]	Ge F X, Shen D X, Peng Y N, et al. Super-resolution time delay estimation in multipath environments. IEEE Wireless Communications and Networking Conference, 2004, 2: 1121-1126.
[14]	Zhang Jinfeng, Qiu Tianshuang, Li Sen. A Robust PAST Algorithm Based on Maximum Correntropy Criterion for Impulsive Noise Environments [J]. ACTA ELECTRONICA SINICA. 2015, 43(3): 483-488.
[15]	Garel B, d’Estampes L, Tjostheim. Revealing some unexpected dependence properties of linear combinations stable random variables using symmetric covariation. Communication Statistics Theory and Methods 2004, 33(4): 769-786.
[16]	Ludeman L C. Random processes: filtering, estimation, and detection. New York: John Wiley and Sons, Inc., 2004.
[17]	Li Huiya, Yang Jinpo, Yin Yongchao, et al. Echo cancellation based on additional signal [J]. Journal Computer Application. 2013, 33(3): 631-634.
[18]	Gunther, Jake. Learning echo paths during continuous double-talk using semi-blind source separation [J]. IEEE Transactions on Audio, Speech and Language Processing, 2012, 20(2): 646-660.
[19]	Zhu You-1ian, Lu You-hong, Shi Guo-dong. New method for adaptive Echo cancellation in communication systems [J]. Journal on Communications, 2007, 28(5): 67-72.
[20]	Li Jingwei, Qiu Houde. Correntropy Method for Spectrum Estimation in Impulsive Noise Environment [J]. Journal of Signal Processing, 2014, 30(8): 944-948.
[21]	Kidmose P. Adaptive filtering for non-Gaussian processes. IEEE ICASSP, 2000, 1: 424-427.

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APA Style

Wenhong Liu. (2016). A Robust and Adaptive Line Echo Canceller. Journal of Electrical and Electronic Engineering, 4(3), 78-82. https://doi.org/10.11648/j.jeee.20160403.17

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ACS Style

Wenhong Liu. A Robust and Adaptive Line Echo Canceller. J. Electr. Electron. Eng. 2016, 4(3), 78-82. doi: 10.11648/j.jeee.20160403.17

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AMA Style

Wenhong Liu. A Robust and Adaptive Line Echo Canceller. J Electr Electron Eng. 2016;4(3):78-82. doi: 10.11648/j.jeee.20160403.17

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@article{10.11648/j.jeee.20160403.17,
  author = {Wenhong Liu},
  title = {A Robust and Adaptive Line Echo Canceller},
  journal = {Journal of Electrical and Electronic Engineering},
  volume = {4},
  number = {3},
  pages = {78-82},
  doi = {10.11648/j.jeee.20160403.17},
  url = {https://doi.org/10.11648/j.jeee.20160403.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20160403.17},
  abstract = {In the actual communication system, the line echo is a frequent problem, so the line echo canceller is necessary. Traditionally, the cancellers are designed according to line noises based on the Gaussian noise model. However, the noises do not obey the Gaussian distribution; therefore the performances of algorithms decrease, even cannot be used. In order to solve this problem, this paper proposes a line echo canceller based on alpha stable distribution model. The Method in this line echo canceller has Robust and Adaptive. Alpha stable distribution modeling impulse noise, and under the rule of minimum average p norm, adaptive time delay estimator offsets the echo. This method can not only effectively offset the line echo with the Gaussian noise, but also to have the effect of good to echo with impulse noise. Theoretical analysis and computer simulation experiments show that it is very kind of the line echo canceller. It is robust to impulse noises and adaptive to echo cancellation.},
 year = {2016}
}

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TY  - JOUR
T1  - A Robust and Adaptive Line Echo Canceller
AU  - Wenhong Liu
Y1  - 2016/07/15
PY  - 2016
N1  - https://doi.org/10.11648/j.jeee.20160403.17
DO  - 10.11648/j.jeee.20160403.17
T2  - Journal of Electrical and Electronic Engineering
JF  - Journal of Electrical and Electronic Engineering
JO  - Journal of Electrical and Electronic Engineering
SP  - 78
EP  - 82
PB  - Science Publishing Group
SN  - 2329-1605
UR  - https://doi.org/10.11648/j.jeee.20160403.17
AB  - In the actual communication system, the line echo is a frequent problem, so the line echo canceller is necessary. Traditionally, the cancellers are designed according to line noises based on the Gaussian noise model. However, the noises do not obey the Gaussian distribution; therefore the performances of algorithms decrease, even cannot be used. In order to solve this problem, this paper proposes a line echo canceller based on alpha stable distribution model. The Method in this line echo canceller has Robust and Adaptive. Alpha stable distribution modeling impulse noise, and under the rule of minimum average p norm, adaptive time delay estimator offsets the echo. This method can not only effectively offset the line echo with the Gaussian noise, but also to have the effect of good to echo with impulse noise. Theoretical analysis and computer simulation experiments show that it is very kind of the line echo canceller. It is robust to impulse noises and adaptive to echo cancellation.
VL  - 4
IS  - 3
ER  -

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Author Information

Wenhong Liu

School of Electronic and Information, Shanghai Dianji University, Shanghai, China

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APA Style

Wenhong Liu. (2016). A Robust and Adaptive Line Echo Canceller. Journal of Electrical and Electronic Engineering, 4(3), 78-82. https://doi.org/10.11648/j.jeee.20160403.17

Copy | Download

ACS Style

Wenhong Liu. A Robust and Adaptive Line Echo Canceller. J. Electr. Electron. Eng. 2016, 4(3), 78-82. doi: 10.11648/j.jeee.20160403.17

Copy | Download

AMA Style

Wenhong Liu. A Robust and Adaptive Line Echo Canceller. J Electr Electron Eng. 2016;4(3):78-82. doi: 10.11648/j.jeee.20160403.17

Copy | Download

@article{10.11648/j.jeee.20160403.17,
  author = {Wenhong Liu},
  title = {A Robust and Adaptive Line Echo Canceller},
  journal = {Journal of Electrical and Electronic Engineering},
  volume = {4},
  number = {3},
  pages = {78-82},
  doi = {10.11648/j.jeee.20160403.17},
  url = {https://doi.org/10.11648/j.jeee.20160403.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20160403.17},
  abstract = {In the actual communication system, the line echo is a frequent problem, so the line echo canceller is necessary. Traditionally, the cancellers are designed according to line noises based on the Gaussian noise model. However, the noises do not obey the Gaussian distribution; therefore the performances of algorithms decrease, even cannot be used. In order to solve this problem, this paper proposes a line echo canceller based on alpha stable distribution model. The Method in this line echo canceller has Robust and Adaptive. Alpha stable distribution modeling impulse noise, and under the rule of minimum average p norm, adaptive time delay estimator offsets the echo. This method can not only effectively offset the line echo with the Gaussian noise, but also to have the effect of good to echo with impulse noise. Theoretical analysis and computer simulation experiments show that it is very kind of the line echo canceller. It is robust to impulse noises and adaptive to echo cancellation.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - A Robust and Adaptive Line Echo Canceller
AU  - Wenhong Liu
Y1  - 2016/07/15
PY  - 2016
N1  - https://doi.org/10.11648/j.jeee.20160403.17
DO  - 10.11648/j.jeee.20160403.17
T2  - Journal of Electrical and Electronic Engineering
JF  - Journal of Electrical and Electronic Engineering
JO  - Journal of Electrical and Electronic Engineering
SP  - 78
EP  - 82
PB  - Science Publishing Group
SN  - 2329-1605
UR  - https://doi.org/10.11648/j.jeee.20160403.17
AB  - In the actual communication system, the line echo is a frequent problem, so the line echo canceller is necessary. Traditionally, the cancellers are designed according to line noises based on the Gaussian noise model. However, the noises do not obey the Gaussian distribution; therefore the performances of algorithms decrease, even cannot be used. In order to solve this problem, this paper proposes a line echo canceller based on alpha stable distribution model. The Method in this line echo canceller has Robust and Adaptive. Alpha stable distribution modeling impulse noise, and under the rule of minimum average p norm, adaptive time delay estimator offsets the echo. This method can not only effectively offset the line echo with the Gaussian noise, but also to have the effect of good to echo with impulse noise. Theoretical analysis and computer simulation experiments show that it is very kind of the line echo canceller. It is robust to impulse noises and adaptive to echo cancellation.
VL  - 4
IS  - 3
ER  -

Copy | Download