基于IIN算法和Rife算法的正弦波频率估计算法  

Frequency Estimation of Sinusoid Wave Based on IIN Algorithm and Rife Algorithm

作　　者：周龙健[1] 罗景青[1] 房明星[1] 

机构地区：[1]电子工程学院505教研室,合肥230037

出　　处：《数据采集与处理》2013年第6期839-842,共4页Journal of Data Acquisition and Processing

摘　　要：针对信号频率位于两个相邻量化频率点的中心区域时,迭代插值(Iterative interpolation based,IIN)算法的精度降低,而当信号频率位于量化频率点附近时,Rife算法的精度降低问题,本文提出了一种新的算法,即RIIN算法。首先利用Rife算法对信号的频率进行粗估计,然后通过频谱搬移使新信号的频率位于量化频率点附近,再利用IIN算法对信号频率进行估计。仿真结果表明,本算法的整体性能优于M-Rife算法和IIN算法(一次迭代),接近二次迭代,且性能稳定。When the signal frequency locates in the area near the midpoint of two neighboring discrete frequencies, the performance of iterative interpolation （IIN） algorithm is poor. When the signal frequency is near the discrete frequency, the performance of Rife algorithm is poor. A new algorithm called the R-IIN algorithm is presented. Firstly, the signal frequency is ap- proximately estimated using the Rife algorithm. Secondly, the signal frequency is moved to the area near the discrete frequency. Finally, the frequency is estimated by the IIN algorithm. Simulation results show the performance of R-IIN is better than M-Rife and one iteration of IIN algorithm, and close to IIN of two iterations.

关 键 词：频率估计 正弦信号 离散傅里叶变换 

分 类 号：TN911.6[电子电信—通信与信息系统]