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低频信号的混沌高斯化检测方法
引用本文:舒轶昊,张洋,张坤,刘林芳,董道广. 低频信号的混沌高斯化检测方法[J]. 海军航空工程学院学报, 2019, 34(5): 407-412
作者姓名:舒轶昊  张洋  张坤  刘林芳  董道广
作者单位:92919部队,北京100142;海军航空大学,山东烟台264001;92279部队,山东烟台264000
基金项目:国家自然科学基金;国家自然科学基金;国家自然科学基金
摘    要:大气天电噪声是干扰低频信号的主要噪声源。文章主要针对大气噪声的高斯化方法进行研究,提出了基于混沌方程快速求解、混沌相变判别等技术的噪声高斯化方法,以非线性信号处理技术为依据,通过实验室模拟信道环境,完成低频弱信号的混沌高斯化及检测,2PSK弱信号检测的理论实验验证了其有效性,可为低频接收技术的发展提供依据。

关 键 词:混沌理论  大气天电噪声  噪声高斯化  低频信号

Chaotic Gaussization Detection Method of Low Frequency Signals
SHU Yihao,ZHANG Yang,ZHANG Kun,LIU Linfang and DONG Daoguang. Chaotic Gaussization Detection Method of Low Frequency Signals[J]. Journal of Naval Aeronautical Engineering Institute, 2019, 34(5): 407-412
Authors:SHU Yihao  ZHANG Yang  ZHANG Kun  LIU Linfang  DONG Daoguang
Affiliation:The 92919th Unit of PLA, Beijing 100142, China,Naval Aviation University, Yantai Shandong 264001, China,The 92279th Unit of PLA, Yantai Shandong 264000, China,Naval Aviation University, Yantai Shandong 264001, China and Naval Aviation University, Yantai Shandong 264001, China
Abstract:As the main noise source interfering with low frequency signal, the gaussization method of atmospheric noisewas studied in this paper, and a new noise gaussization method based on the fast solving algorithm of new chaotic equationand the chaotic phase transformation discriminant algorithm were proposed. Based on the non-linear signal processingtechnology, the chaotic gaussization of low frequency weak signal was completed by simulating the channel environment inthe laboratory. The theoretical experiment of 2PSK weak signal verifies its validity, which can provide a basis for the devel?opment of low frequency receiving technology.
Keywords:chaotic theory   atmospheric aeroelectric noise   noise gaussization   low frequency signal
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