摘要
本文主要针对随机信号处理中最重要的统计表征——功率谱密度,研究了经典功率谱估计的方法,包括自相关函数法和周期图法。通过仿真分析了几种方法的性能,研究了窗长度、窗函数及信噪比等对谱估计性能的影响,为工程应用中谱估计方法及参数的选择提供了依据。
This paper is aimed at power spectrum density, which is the most important statistical characteriza-tion in random signal processing. The classic power spectrum estimation method, including the autocorrelation function method and the periodogram method are studied. Through simulation, the performances of these methods are analyzed. The performances of spectrum estimation under the inlfuence of window length, window function and signal to noise ratio are studied. It provides evidence for the selection of spectrum estimation method and parameters in engineering applications.
出处
《数字通信世界》
2015年第4期47-50,共4页
Digital Communication World
关键词
功率谱密度
自相关函数法
周期图法
分辨率
power spectrum density
autocorrelation function method
periodogram method
resolution
