加权互谱估计方法研究及应用

A study of weighted cross-spectral method and application

在众多的谱估计算法中,互谱方法是用于色噪声背景下参量估计的一种十分有效的方法。通过对旋转不变技术估计信号参量的方法进行了深入的分析,提出基于ESPRIT的加权互谱估计方法来估计正信号的频率。这种方法避免了以往互谱在整个频域上的搜索以及克服了自谱ESPRIT估计方法对噪声的严格限制(要求噪声为白色高斯噪声)。将本文方法应用于1nv级正弦信号现代互谱测量仪,从仿真结果可看出本文方法不仅分辨率高,而且旁瓣电平很低,没有伪峰。

Among numerous high resolution estimations,the cross-spectral estimation methods are efficient in estimating the parameters of signals embedded in the colored noise.This paper introduces the weighed cross-spectral estimation method based on the ESPRIT to estimate the frequency of the Sinusoid.This method overcomes the searching procedure inherent in all the previous cross-spectral estimation and the limitation of auto-spectral estimation methods for noise(require noise to be white and gauss).This method applies in the modern cross-spectral measurement instrument.Simulation shows that the method enhances the performance of spectral estimation without the pseudo peak.