基于局部方差中值滤波的极/超低频信道噪声抑制方法

doi:10.3969/j.issn.0372-2112.2019.04.023

电子学报 ›› 2019, Vol. 47 ›› Issue (4): 955-961.DOI: 10.3969/j.issn.0372-2112.2019.04.023

基于局部方差中值滤波的极/超低频信道噪声抑制方法

赵鹏¹, 蒋宇中¹, 翟琦¹, 向冰², 王希晨¹

1. 海军工程大学电子工程学院, 湖北武汉 430033;
2. 中船重工集团公司第七二二研究所, 湖北武汉 430079

收稿日期:2017-10-13 修回日期:2018-07-24 出版日期:2019-04-25
- 作者简介:
- 赵鹏男.1990年1月出生,陕西周至人.2012年毕业于中国地质大学(武汉)机械与电子信息学院,现为海军工程大学通信与信息系统专业博士生,主要研究方向为低频通信信号处理、干扰抑制.E-mail:zhaopeng@cug.edu.cn;蒋宇中 男.1963年5月出生,浙江嘉兴人.现为海军工程大学电子工程学院教授、博士生导师,主要研究方向为低频通信信号处理、编解码技术等.E-mail:jiangyuzhong@tsinghua.org.cn
- 基金资助:
- 国家自然科学基金 (No.41631072，No.41704034）; 武汉大学地球空间环境与大地测量教育部重点实验室开放基金 (No.17-01-05）

Channel Noise Suppression Method Based on Median Filtering Using Local Variance for Extreme/Super Low Frequency Communications

ZHAO Peng¹, JIANG Yu-zhong¹, ZHAI Qi¹, XIANG Bing², WANG Xi-chen¹

1. College of Electronic Engineering, Naval University of Engineering, Wuhan, Hubei 430033, China;
2. No. 722 Research Institute of CSIC, Wuhan, Hubei 430079, China

Received:2017-10-13 Revised:2018-07-24 Online:2019-04-25 Published:2019-04-25
- Supported by:
- National Natural Science Foundation of China (No.41631072, No.41704034); Open Fund of Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University (No.17-01-05)

摘要/Abstract

摘要： 针对极/超低频信道噪声模型参数估计复杂度高而难以实施最优非线性处理的问题，根据噪声时域波形分析，本文提出了一种基于局部方差中值滤波的抑噪方法.该方法利用局部方差提取结构信息以强化噪声脉冲性，提高中值滤波抑噪性能；采用基于恒虚警率的奇异值检测方法实现含噪样点的盲判决，利用自适应中值滤波算法实现噪声的盲抑制.仿真和实测结果验证了该方法的有效性.相比最优非线性处理，该方法无需噪声参数估计，因而更具实用性.

关键词: 极/超低频通信, 信道噪声抑制, 中值滤波, 恒虚警率

Abstract: Aiming at the problem that parameter estimation for extremely/super low frequency channel noise model is so complicated that it is difficult to perform optimal nonlinear processing and according to the time-domain analysis of the noise waveforms,a noise suppression method was proposed based on median filtering (MF) across local variance.It utilized the local variance to extract the structural information so that the noise impulsiveness would be enhanced and the performance of MF would be improved;utilized the constant false alarm rate outlier detection method to achieve the blind determination of the noisy samples and the adaptive MF algorithm to achieve the blind suppressions.Simulations and real tests verified its effectiveness.Due to no parameter estimation,this method is more practical than the optimal nonlinearities.

Key words: E/SLF communications, channel noise suppression, median filtering, constant false alarm rate

中图分类号:

TN850.8

赵鹏, 蒋宇中, 翟琦, 等. 基于局部方差中值滤波的极/超低频信道噪声抑制方法[J]. 电子学报, 2019, 47(4): 955-961.

ZHAO Peng, JIANG Yu-zhong, ZHAI Qi, et al. Channel Noise Suppression Method Based on Median Filtering Using Local Variance for Extreme/Super Low Frequency Communications[J]. Acta Electronica Sinica, 2019, 47(4): 955-961.

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基于局部方差中值滤波的极/超低频信道噪声抑制方法

Channel Noise Suppression Method Based on Median Filtering Using Local Variance for Extreme/Super Low Frequency Communications

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