摘要
MUSIC法是现代信号高精度频率估计的一种重要方法,但它需要在整个频域内进行搜索,严重影响了其实时性应用。本文深入分析了FFT算法与MUSIC算法的特点,利用FFT算法对信号成分频率进行预估计,缩小搜索域,再利用MUSIC方法进行频率细化,通过仿真研究,这种方法能有效提高信号的处理速度,从而加强了MUSIC算法的应用。
MUSIC algorithm is an important frequency estimate method in modern signal processing. But, it requires searching in the whole frequency range, which limits its real-time applications. In this paper the characteristics of FFT and MUSIC algorithms are analyzed, and a proposal is given that uses FFT algorithm to pre-estimate the component frequencies of a signal, then uses MUSIC algorithm to complete the frequency search. Simulation results show that the proposed method reduces the processing time of MUSIC algorithm greatly.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2006年第11期1526-1528,共3页
Chinese Journal of Scientific Instrument
