Cyclic correntropy and its spectrum in frequency estimation in the presence of impulsive noise
Cyclic correntropy and its spectrum in frequency estimation in the presence of impulsive noise
复制标题
存在脉冲噪声的频率估计中的循环相关熵及其频谱
DOI：
10.1016/j.sigpro.2015.09.023
复制
发表时间：
2016-03-01
影响因子：
4.4
通讯作者：
Yu, Ling
中科院分区：
文献类型：
--
作者：
Luan, Shengyang;Qiu, Tianshuang;Yu, Ling
由于基于二阶统计量的方法严重依赖于高斯假设，而基于分数阶低阶统计量的方法依赖于非高斯噪声的先验知识，因此在随机信号处理方面仍然存在空白。针对脉冲噪声环境下的循环平稳信号，提出了一种基于核方法的循环熵分析方法。此外，还定义了循环熵谱。在频率估计中的应用说明了在稳定脉冲噪声存在下，循环熵相对于二阶和分数阶低阶循环统计量方法的优越性。(C) 2015 Elsevier B.V.版权所有
Since the second-order statistics based methods rely heavily on Gaussianity assumption and the fractional lower-order statistics based methods depend on a priori knowledge of non-Gaussian noise, there remains a void in stochastic signal processing. In this paper, a novel signal analysis method referred to as cyclic correntropy is proposed to deal with cyclostationary signals under impulsive noise environment based on kernel methods. Furthermore, the cyclic correntropy spectrum is also defined. The application in frequency estimation is presented to illustrate the advantages of the cyclic correntropy over the second-order and the fractional lower-order cyclic statistics based methods in the presence of alpha-stable impulsive noise. (C) 2015 Elsevier B.V. All rights reserved.