摘要
为正确辨识超低频大气噪声的幅度概率分布类型,对其进行有效抑制,首先,假设实际大气噪声幅度概率分布服从SαS(symmetric α stable)分布,从而估计出分布的模型参数;然后,由此计算出该参数下SαS分布的理论幅度概率分布并生成服从SαS分布的随机样本;最后,采用与实际数据APD比较和做Q-Q图的方法验证了分布拟合的正确性。结果表明:SαS分布可以有效地描述出超低频大气噪声的幅度概率分布。
The amplitude probability distribution(APD) of the extremely low frequency(ELF) atmospheric noise was fitted with the symmetric α-stable(SαS) distribution.Firstly,the parameters of the model were estimated by using the log|SαS| method on the assumption that the distribution of ELF atmospheric noise was SαS distribution.Secondly,the theoretical APD of the SαS distribution was calculated and compared with the actual ELF atmospheric noise data to test the correctness of the fitness.The result shows that SαS distribution can fit the APD of the ELF atmospheric noise effectively.
出处
《海军工程大学学报》
CAS
北大核心
2010年第6期91-95,共5页
Journal of Naval University of Engineering