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超低频大气噪声幅度概率分布模式的辨识

张曙霞, 徐大勇, 蒋宇中, 毕文斌
  

  1. 海军工程大学 电子工程学院 ，湖北 武汉430033
  • 收稿日期:2008-02-21 修回日期:2008-04-11 出版日期:2008-07-31 发布日期:2008-07-31

Probability Model Identification for Amplitude of Extremely Low Frequency Atmospheric Noise


ZHANG Shu-xia, XU Da-yong, JIANG Yu-zhong, BI Wen-bin   

  1. College of Information and Electrical Engineering, Naval University of Engineering, Wuhan 430033, China
  • Received:2008-02-21 Revised:2008-04-11 Online:2008-07-31 Published:2008-07-31

被引次数

4

摘要： 通过对实测的超低频大气噪声幅度统计分析，验证超低频信道噪声幅度服从Middleton的Class A模型。为保证超低频噪声幅度统计特性的准确性，采用频域法对超低频信道电磁噪声数据进行预处理，抑制了50Hz工频干扰。接着对超低频信道大气噪声数据进行Lilliefors假设检验，证明了超低频信道大气噪声的非正态属性。最后估计Class A瞬时幅度概率分布参数值的基础上，根据概率分布图和Q-Q图结果综合分析作出结论，即采用Class A瞬时幅度概率模型，可以很好地描述超低频信道大气噪声数据的幅度统计特性。

关键词: 非高斯噪声, 幅度概率分布, A 类噪声模型

Abstract: It is shown that the Middleton’s Class A model can be made to fit the amplitude probability distribution (APD) of the extremely low frequency (ELF) atmospheric noise measurement. For the accurate APD of ELF noise, the measured noise is processed with an FFT filter to suppress the 50 Hz interference. The non-Gaussian property of ELF noise is testified by Lilliefors hypothesis testing. By considering the APD and the Quantile-Quantile plot of real ELF atmospheric noise based on a parameter estimation of Class A noise model, excellent agreement between the measured data and the theoretical curves provided by the model can be obtained.

Key words:

non-Gaussian noise, amplitude probability distribution, class A noise model