基于互高阶累计量的混合色噪声中的谐波恢复  

The Harmonic Retrieval Based on The Cross-High-Order Cumulant of Hybrid Colored Noises

作　　者：康晓涛[1] 孙甲男[1] 刘斌[1] 张丽丽[2] 石要武[1] 战艳艳[1] 

机构地区：[1]吉林大学通信工程学院,长春130025 [2]沈阳航空工业学院电子工程系,沈阳110034

出　　处：《长春理工大学学报（自然科学版）》2009年第1期73-76,共4页Journal of Changchun University of Science and Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(F010202-69872012);吉林省自然科学基金资助项目(20030519)

摘　　要：采用状态空间模型描述时间序列,将其与互高阶累计量相结合,首次提出状态空间模型谐波恢复的互高阶累计量SLS-Hankel矩阵分解法。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。仿真结果表明,该方法在混合色噪声和很低信噪比条件下谱估计的分辨率、稳定性及对混合色噪声的抑制等方面均明显优于自高阶谱估计方法。This paper uses state space model to describe time sequence and combines the state space model with cross-highorder cumulant, it proposes a SLS-Hankel matrix decomposition method of cross-high-order cumulant based on the state space model of harmonic retrieval. The method is used in harmonic retrieval and it is a breakthrough in high-order cumulant method of noise restrictions and it reduces cross-spectral methods on the requirements of hardware isolation.The simulations have showed that the algorithm in this paper is much better than the Esprit methods of auto-high-order cumulant in identification and stability of the spectral estimation under the conditions of colored noise background and low signal-to-noise ratio as well as in the ability to overcome disturbance is also better.

关 键 词：混和色噪声 谐波恢复 状态空间模型 互高阶累计量 

分 类 号：TN911[电子电信—通信与信息系统]