摘要
高阶统计量是信号处理的一种新的强有力的工具,近年来在谐波恢复领域取得了很好的应用效果。本文在分析现有自相关方法的基础上,着重综述了基于高阶统计量的谐波恢复方法以及基于各阶统计量相混合的预滤波谐波恢复方法,表明高阶统计量方法在抑制有色噪声影响上明显优越于自相关方法。
Recently, Higher-order statistics have become powerful tools in signal processing field and have been applicable in harmonic retrieval. This paper first analyses the existing correlation-based methods for harmonic retrieval; then summarizes the newly developed higher-order statistics-based approaches and pre-filtering-based methods with hybrid higher-order statistics for estimating parameters of harmonics in noise. It is shown that higher-order statistics-based approaches are superior to correlation based approaches in restraining colored noise and retrieving useful information of harmonics.
基金
国家自然科学基金
关键词
谐波恢复
有色噪声
高阶统计量
预滤波方法
Harmonic retrieval, Colored noise, Higher-order statistics, Pre-filter-ing based approaches
