基于MUSIC的含噪声信号频率估计

频率估计是数字信号处理的重要内容，特别是对含有高斯白噪声的信号进行频率估计一直是信号处理的经典课题。频率估计不仅在理论上，而且在实际应中，都有非常重要的研究价值。本文采用空间谱估计的典型代表MUSIC算法，对含高斯白噪声的信号进行频率估计，同时也通过MATLAB软件对其进行了仿真。仿真结果表明对单、多个含噪声的正弦信号而言，MUSIC算法有良好的频率特性，并能达到预期效果。

With the noise of signal frequency estimation based MUSIC method

Frequency estimate is an important part of digital signal processing , Especially with the Gaussian white noise of signal requency estimate has been a classic signal processing tasks. Not only in theory but in practice, Frequency estimate has very important research value. For with the Guassian white noise of signal frequency estimation, this paper uses the MUSIC algorithm, the typical representative of spatial spectrum estimation, and simulates through the MATLAB software. For asingle, multi-sinusoidal signal with Guassion white noise, Simulation results have shown that the MUSIC algorithm has good frequency characteristics and achieves the desired results.