摘要
将状态空间模型与互高阶累计量相结合,充分利用状态空间模型具有的灵活性、方便性,提出基于状态空间模型谐波恢复的互高阶累计量的Tls-Hankel矩阵分解法,为解决谐波恢复问题提供了一条新的思路。仿真结果表明,在混合色噪声和很低信噪比条件下,该方法在谱估计的分辨率、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。
Combining the state space model with cross-high-order cumulant, the paper proposes a Tls-Hankel matrix decomposition method of cross-high-order cumulant based on the state space model of harmonic retrieval. The method takes advantage of flexibility and convenience of the state space model. It also proposes a new way to harmonic retrieval problem. The simulation results showed that the proposed spectrum estimation method is better than the Esprit method of auto-high-order cumulant in the identification rate and the stability under the conditions of colored noise background and low signal-to-noise ratio as well as in the ability to overcome the colored noise disturbance.
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2008年第1期224-228,共5页
Journal of Jilin University:Engineering and Technology Edition
基金
国家自然科学基金项目(F010202-69872012)
关键词
通信技术
互高阶累计量
谐波恢复
状态空间模型
混和色噪声
communication
cross-high-order cumulant
harmonic retrieval
state-space model
hybrid colored noises
