基于互高阶累积量与信号空间结构特性的谐波恢复方法

Method of Harmonic Retrieval Based on Cross-High-Order Cumulant and Structure Property of Signal Space

将互谱思想与高阶累积量方法相结合形成了多通道互高阶累积量方法 ,该方法用于谐波恢复 ,突破了高阶累积量方法对噪声的限制 ,降低了互谱方法对硬件隔离的要求 .本文还采用了状态空间模型来描述时间序列 ,充分利用信号空间的结构特性 ,进而最终实现了在有色加性混合色噪声背景下较低信噪比的谐波恢复 .

A method of multi-channel cross-high-order cumulant was proposed by combining the idea of cross-spectral with high-order cumulant method. This method used in the harmonic retrieval outbreaks the noise constraints of high-order cumulant and reduces the demand for hardware insulation of the cross-spectral method. In addition, the state-space model and the structure property of signal space were fully employed in this article, therefore better performance of the harmonic retrieval was gained under the additive hybrid colored noise background with lower signal noise rate. Simulation experiment demonstrates the effectiveness of this method.