水声通信中基于正则化阈值迭代的脉冲噪声抑制方法

doi:10.11959/j.issn.1000-0801.2019010

Abstract

Abstract:

Impulsive noise interference can seriously affect the performance of underwater acoustic communication systems.An impulsive noise suppression method based on regularized threshold iteration was presented.Firstly,the null subcarrier matrix was used to separate impulsive noise from Gaussian white noise and useful signals.Then,based on the theory of compressed sensing,the impulsive noise estimation problem was transformed into a regularization problem by introducing a threshold iteration,and the impulsive noise was estimated by using a threshold function to obtain the estimated value of the impulsive noise.Finally,the estimated impulsive noise was subtracted from the received signal.The simulation results show that the proposed method can effectively reduce the bit error rate (BER) and mean square error (MSE),and improve the reliability of signal transmission in underwater acoustic communication environment.

Key words: underwater acoustic communication, impulsive noise, compressive sensing, threshold iteration

CLC Number:

TP393

Nana LI,Youming LI,Mingchen YU,Qianqian LU. Regularized threshold iteration method for impulsive noise suppression in underwater acoustic communication[J]. Telecommunications Science, 2019, 35(3): 76-83.

Figures/Tables 5

References 15

[1]	周桂莉, 李有明, 余明宸 ,等. 水声通信系统中基于迭代自适应的脉冲噪声抑制方法[J]. 电信科学, 2017,33(11): 66-72.
	ZHOU G L , LI Y M , YU M C ,et al. Iterative adaptive impulse noise suppression method in underwater acoustic communication system[J]. Telecommunications Science, 2014,33(11): 66-72.
[2]	CHITRE M , ONG S H , POTTER J . Performance of coded OFDM in very shallow water channels and snapping shrimp noise[C]// OCEANS 2005 MTS/IEEE,June 26,2005,Washington,DC,USA. Washington DC:IEEE Computer Society, 2005: 996-1001.
[3]	ZHIDOV S V . Performance analysis and optimization of OFDM receiver with blanking nonlinearity in impulsive noise environment[J]. IEEE Transactions on Vehicular Technology, 2006,55(1): 234-242.
[4]	JUWONE F H , GUO Q , HUANG D ,et al. Deep clipping for impulsive noise mitigation in OFDM-based power-line communications[J]. IEEE Transactions on Power Delivery, 2014,29(3): 1335-1343.
[5]	GUO Y , SUN H , CHENG E ,et al. Impulsive noise suppression and signal distortion effect mitigation in underwater acoustic OFDM system[J]. Journal of Convergence Information Technology, 2012,7(7): 181-189.
[6]	KUAI X , SUN H , ZHOU S ,et al. Impulsive noise mitigation in underwater acoustic OFDM systems[J]. IEEE Transactions on Vehicular Technology, 2016,65(10): 8190-8202.
[7]	DONOHO D L . Compressed sensing[J]. IEEE Transactions on Information Theory, 2006,52(4): 1289-1306.
[8]	GUO Y , SUN Y , CHENG E ,et al. Impulsive noise suppression and signal distortion effect mitigation in underwater acoustic OFDM system[J]. Journal of Convergence Information Technology, 2012(7): 181-189.
[9]	SUN H , SHEN W , WANG Z ,et al. Joint carrier frequency offset and impulsive noise estimation for underwater acoustic OFDM with null subcarriers[C]// OCEANS 2012,Oct 14-19,2012,Hampton Roads,VA,USA. Washington DC:IEEE Computer Society, 2012: 1-4.
[10]	WANG H , ZHANG X , LIU Y ,et al. Study of noise mitigation for underwater acoustic channel[C]// International Industrial Informatics and Computer Engineering Conference,January 10,2015,Xi’an,China. Paris:Atlantis Press, 2015.
[11]	BERGER C R , WANG Z , HUANG J ,et al. Application of compressive sensing to sparse channel estimation[J]. IEEE Communications Magazine, 2010,48(11): 164-174.
[12]	BANERJEE S , AGRAWAl M . On the performance of underwater communication system in noise with Gaussian Mixture statistics[C]// Twentieth National Conference on Communications,Feb 28 -March 2,2014,Kanpur,India. Piscataway:IEEE Press, 2014: 1-6.
[13]	ZONG B , HAI L,WANG ,et al. Representative of L1/2 regularization among Lq(0<q≤1)regularizations:an experimental study based on phase diagram[J]. Journal of Automation, 2012,38(7): 1225-1228.
[14]	XU Z , CHANG X , XU F ,et al. L1/2 Regularization:a thresholding representation theory and a fast solver[J]. IEEE Transactions on Neural Networks ＆ Learning Systems, 2012,23(7):1013.
[15]	GRIMM K J , MAZZA G L , DAVOUDZADEH P . Model selection in finite mixture models:a k-fold cross-validation approach[J]. Structural Equation Modeling A Multidisciplinary Journal, 2017,24(2): 1-11.

Metrics

Recommended 0

No Suggested Reading articles found!

Regularized threshold iteration method for impulsive noise suppression in underwater acoustic communication

RichHTML

PDF下载

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 5

References 15

Related Articles 15

Metrics

Recommended 0

[1]	Xinrong LYU, Youming LI, Yongqing WU, Xiaobo TANG. Receiver design of sparse Bayesian learning based MIMO-OFDM power line communication system [J]. Telecommunications Science, 2022, 38(2): 25-34.
[2]	Zhenhua FU, Jie LI, Fei JI, Hua YU. Architecture of a heterogeneous marine internet of things for intelligent offshore engineering [J]. Telecommunications Science, 2021, 37(7): 34-39.
[3]	Xuan YU, Xuan GENG. A reduced-complexity compressed sensing channel estimation for underwater acoustic channel [J]. Telecommunications Science, 2021, 37(3): 114-124.
[4]	Kun LI,Jing ZHANG,Xiao LI,Shi JIN. An overview of artificial intelligence assisted channel estimation [J]. Telecommunications Science, 2020, 36(10): 46-55.
[5]	Hongying DAI,Menglei CHEN,Weikai XU. Underwater acoustic communications based on differential chaos shift keying [J]. Telecommunications Science, 2019, 35(9): 69-84.
[6]	Xiaohan YU,Keming DONG,Xia LI,Chao CHEN. A compressive data gathering method based on El Gamal cryptography [J]. Telecommunications Science, 2019, 35(12): 67-78.
[7]	Rui ZHANG,Guchen SHI,Banteng LIU,Yourong CHEN. Low-complexity variable step-size sign algorithm based on Weibull distribution function [J]. Telecommunications Science, 2018, 34(9): 87-96.
[8]	Jun LIU,Fenghao WANG. Overview of marine internet [J]. Telecommunications Science, 2018, 34(6): 9-14.
[9]	Lijun XU,Zhaohuan HOU,Shefeng YAN,Zhen ZHANG,Di ZENG. Design of a wireless real-time observation data transmission system for deep ocean mooring [J]. Telecommunications Science, 2018, 34(6): 29-35.
[10]	Xinrong LV,Youming LI,Mingchen YU. Design of transceivers based on sparse Bayesian learning for power line carrier communications [J]. Telecommunications Science, 2017, 33(9): 92-99.
[11]	Guili ZHOU,Youming LI,Mingchen YU,Xiaoli WANG. Impulsive noise mitigation based on iteration adaptive approach in underwater acoustic communication [J]. Telecommunications Science, 2017, 33(11): 66-72.
[12]	Guoyu MA,Bo AI,Xian’an HU,Xiaobing JIANG. Performance analysis of multi-user detection of 5G overloaded sporadic system [J]. Telecommunications Science, 2016, 32(8): 39-45.
[13]	Mingchen YU,Youming LI,Caimei FU,Guili ZHOU. Iterative hard thresholding based impulsive noise suppression method in power line communication system [J]. Telecommunications Science, 2016, 32(11): 101-106.
[14]	Jianjun Zhao,Huaiyu Wang,Zeyang Zhao,Shengchang Chen. Data Aggregation Scbeme Based on Multi-Resolution and Compressive Sensing in Wireless Sensor Network [J]. Telecommunications Science, 2014, 30(9): 92-99.
[15]	Junjie Zheng,Kun Ruan,Liyanbin ,Lu Lin. Research of Underwater Acoustic Communication Network [J]. Telecommunications Science, 2009, 25(10): 63-66.