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

doi:10.11959/j.issn.1000-0801.2017240

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水声通信系统中基于迭代自适应的脉冲噪声抑制方法

研究与开发 | 更新时间：2024-06-05

- 水声通信系统中基于迭代自适应的脉冲噪声抑制方法
- Impulsive noise mitigation based on iteration adaptive approach in underwater acoustic communication
- 电信科学 2017年33卷第11期页码：66-72
- 作者机构：
- 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。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61571250);宁波市自然科学基金资助项目;The Natural Science Foundation of Ningbo of China(2015A610121);宁波大学研究生科研创新基金资助项目;The Scientific Research Foundation of Graduate School of Ningbo University
- DOI：10.11959/j.issn.1000-0801.2017240
  中图分类号： TN929.3
- 网络出版日期：2017-11，
  
  纸质出版日期：2017-11-20
- 稿件说明：
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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.

Guili ZHOU, Youming LI, Mingchen YU, et al. Impulsive noise mitigation based on iteration adaptive approach in underwater acoustic communication[J]. Telecommunications science, 2017, 33(11): 66-72.
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. DOI： 10.11959/j.issn.1000-0801.2017240.

Guili ZHOU, Youming LI, Mingchen YU, et al. Impulsive noise mitigation based on iteration adaptive approach in underwater acoustic communication[J]. Telecommunications science, 2017, 33(11): 66-72. DOI： 10.11959/j.issn.1000-0801.2017240.

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。

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.

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Keywords

references

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