低频信号的混沌高斯化检测方法

Chaotic Gaussization Detection Method of Low Frequency Signals

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,可为低频接收技术张,的发展提供依据。

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.