大气噪声幅度分布与抑制处理分析  

Analysis on amplitude distribution and suppression techniques of atmospheric noise

作　　者：罗忠涛 卢鹏 张杨勇[2] 张刚[1] LUO Zhongtao;LU Peng;ZHANG Yangyong;ZHANG Gang(Chongqing Key Laboratory of Signal and Information Processing,Chongqing University of Posts and Telecommunications,Chongqing,400065,China;Laboratory of Low Frequency Electromagnetic Communication Technology,Wuhan Maritime Communication Research Institute,Wuhan 430079,China)

机构地区：[1]重庆邮电大学信号与信息处理重庆市重点实验室,重庆400065 [2]武汉船舶通信研究所低频电磁通信技术实验室,湖北武汉430079

出　　处：《系统工程与电子技术》2018年第7期1443-1448,共6页Systems Engineering and Electronics

基　　金：国家自然科学基金(61701067;61771085;61671095);重庆市教育委员会研究项目(KJ1600427;KJ1600429)资助课题

摘　　要：大气噪声的分析与抑制对低频通信至关重要。结合实测大气噪声数据分析其幅度分布,提出噪声抑制的新非线性变换方法,并理清非线性变换的检测性能与正态性的关系。首先分析实测噪声幅值分布,验证其非高斯性且接近服从对称α稳定(symmetricα-stable,SαS)噪声模型。然后基于高斯化处理后信号检测模型,推导得到新非线性变换方法——过高斯化处理。最后,基于实测大气数据的正态检验统计与误码率(bit error ratio,BER)仿真表明:大气噪声处理技术的BER性能与正态性之间并非一定正相关;过高斯化处理能够有效降低BER,性能接近传统局部最优检测器。Atmospheric noise must be suppressed in low-frequency communication systems.This paper studies the amplitude characteristics of atmospheric noise based on real data and proposes a nonlinearity method.Firstly,Analysis on real noise amplitude demonstrates the non-Gaussianity of atmospheric noise and shows that the amplitude roughly follows theα-stable distribution.Then,based on the traditional Gaussianization algorithm,this paper deduces a novel nonlinearity method which is called as the over-Gaussianization transformation.Finally,simulations of normality test and bit error ratio（BER）on real noise show that higher Gaussianity does not always mean lower BER.The over-Gaussianization method achieves similar BER performance to the locally optimal detector.

关 键 词：大气噪声 Α稳定分布 非线性处理 正态性检验 误码率(bit ERROR RATIO BER) 

分 类 号：TN911[电子电信—通信与信息系统]