非相关噪声与相关高斯噪声下正弦参数估计的互高阶谱最小范数法  

Cross High Order Spectrum Minimal Norm Method for Sinusoidal Parameter Estimation on Background of Non correlative Noises and Correlative Gauss Noises

作　　者：兰华[1] 金晟[1] 贾清泉[1] 徐志勇[1] 敖丽敏 

机构地区：[1]东北电力学院电力工程系,吉林吉林132012

出　　处：《东北电力学院学报》2000年第4期49-52,共4页Journal of Northeast China Institute of Electric Power Engineering

摘　　要：在建立互高阶累积量的Yule Walker方程的基础上 ,通过特征分解 ,建立了噪声矢量空间和信号矢量空间 ,提出了在非相关噪声和相关高斯噪声下 ,正弦参数估计的互高阶谱最小范数法。通过仿真计算可知 ,该方法信噪比工作门限低 。Yule Walkers' equation for cross high order accumulation is formulated as a basis in this paper,and by means of characteristic decomposition,noise vector space and signavector space are established.Cross high order spectrum minimal norm method is proposed for estimating sinusoidal parameters on background of non correlative noises and correlative gauss noises.Simulation results show that the novel method is with lower signal/noise ratio requirement and with higher spectrum identifying ability,therefore more suitable for practice.

关 键 词：非相关噪声 正弦参数估计 高斯噪声 信号处理 

分 类 号：TN911.7[电子电信—通信与信息系统]