A new thought of combining frequency estimate method based on FFT with that based on multiple signal classification (MUSIC) is presented.
提出了将基于FFT的频率估计法和基于多重信号分类(MUSIC)的频率估计法相结合的新思路。
MUSIC (MUltiple SIgnal Characterization) is a special spectral estimation method based on the eigen decomposition of the sample covariance matrix.
多重信号分类(MUSIC)算法是通过对数据协方差矩阵进行本征分解获得信号空间谱估计的方法。
The Multiple Signal Subspace (MUSIC) algorithm is considered. The influence of array aperture on the performance of localized algorithm is analyzed.
讨论了多重信号子空间(MUSIC)算法,分析了阵列孔径对定位算法性能的影响。
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