基于MATLAB实现经典功率谱估计

Achieve Power Spectrum Estimation Baded on MATLAB

功率谱估计(power spectrum estimation,PSE)是利用有限长的数据估计信号的功率谱,广泛应用于雷达、声纳、通信、地质勘探、天文、生物医学工程等众多领域.功率谱估计可分为经典谱估计和现代谱估计,文章主要研究经典谱估计中的修正算法.目前经典谱估计中主要采用对2种方法进行估计,分别是周期图法和自相关法,而修正算法就是在上述方法的基础上进行改进得到的.

Power spectrum estimation is the power spectrum which uses the finite data to estimate the power spectrum of signal,it is widely applied in many fields such as radar,sonar,communication,geologic exploration,chronometer,biomedicine fields and so on.Power spectrum estimation can be separated into classic spectrum estimation and modern spectrum estimation.In this paper,the Welch algorithm in the classic spectrum estimation is given.At present,there are two methods to deal with estimation in the classic spectrum estimation,which are the periodic graphology method and the autocorrelation method,while the Welch algorithm is improved on the basis of the periodic graphology method.