电信科学 ›› 2017, Vol. 33 ›› Issue (11): 66-72.doi: 10.11959/j.issn.1000-0801.2017240

• 研究与开发 • 上一篇    下一篇

水声通信系统中基于迭代自适应的脉冲噪声抑制方法

周桂莉,李有明,余明宸,王晓丽   

  1. 宁波大学信息科学与工程学院,浙江 宁波 315211
  • 修回日期:2017-07-31 出版日期:2017-11-01 发布日期:2017-12-08
  • 作者简介:周桂莉(1992-),女,宁波大学信息科学与工程学院硕士生,主要研究方向为水声通信系统中资源分配和干扰抑制。|李有明(1963-),男,宁波大学信息科学与工程学院教授、博士生导师,主要研究方向为宽带通信、电力线通信、协作中继、认知无线电等。|余明宸(1991-),男,宁波大学信息科学与工程学院硕士生,主要研究方向为电力线通信系统脉冲干扰。|王晓丽(1975-),女,宁波大学信息科学与工程学院讲师、在职博士生,主要研究方向为多载波通信及应用。
  • 基金资助:
    国家自然科学基金资助项目(61571250);宁波市自然科学基金资助项目(2015A610121);宁波大学研究生科研创新基金资助项目

Impulsive noise mitigation based on iteration adaptive approach in underwater acoustic communication

Guili ZHOU,Youming LI,Mingchen YU,Xiaoli WANG   

  1. College of Information Science and Engineering,Ningbo University,Ningbo 315211,China
  • Revised:2017-07-31 Online:2017-11-01 Published:2017-12-08
  • Supported by:
    The National Natural Science Foundation of China(61571250);Ningbo Natural Science Foundation of China(2015A610121);The Scientific Research Foundation of Graduate School of Ningbo University

摘要:

针对水声通信系统中脉冲噪声抑制问题,提出了一种迭代自适应的脉冲噪声抑制方法。基于 OFDM子载波之间的正交性,该方法首先利用空子载波矩阵从接收信号中提取出背景噪声和脉冲噪声。然后,利用空子载波矩阵构造导频矩阵,得到脉冲噪声的干扰协方差矩阵,并在加权最小二乘准则下通过对代价函数的求解得到脉冲噪声的闭式解。最后,在接收信号中减去脉冲噪声的估计值,完成对脉冲噪声的抑制。仿真结果表明,本文方法有效降低了水声通信系统的误码率,且在高信干噪比下性能提升更加明显。

关键词: 水声通信, 脉冲噪声, 迭代自适应方法

Abstract:

Focusing on the impulsive noise mitigation in underwater acoustic communication,an impulsive noise mitigation method based on iteration adaptive approach was proposed.Firstly,by utilizing the orthogonality of the subcarriers in OFDM system,both the impulsive noise and background noise were separated from the signals.Then null tones matrix was used to construct a steering matrix and get the impulsive noise interference covariance matrix.Furthermore,a cost function based on weighted least squares approach was proposed and a close form expression for the impulsive noise was derived.Finally,the impulsive noise was mitigated by substracting the estimation of the impulse noise in the received signal.Simulation results show that the proposed algorithm can reduce the bit error rate (BER) efficiently and provide better performance,especially in high signal to impulsive noise ratio (SINR) case.

Key words: underwater acoustic communication, impulsive noise, iteration adaptive approach

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