基于自回归谱Marple算法的频率估计分析  

Frequency Estimation Performance Based on Marple Algorithm of Autoregressive Model

作　　者：王晓莉[1] 王典洪[1] 陈分雄[1] 

机构地区：[1]中国地质大学机电学院,武汉430074

出　　处：《电子测试》2013年第8期33-35,共3页Electronic Test

摘　　要：和传统的FFT相比,采用AR模型进行计算得到的功率谱估计有更好的能量聚集性和频率分辨率,因而可以用来进行频率估计。本文章采用AR模型中的Marple算法进行频率估计,在Marple算法的基础上对估计理论及影响估计精度的相关的因素进行探讨,并在计算机上进行仿真,仿真结果表明Marple算法能达到很好的频率估计效果。Compared with the traditional FFT, AR model has better frequency resolution and energy clustering for power spectrum estimation, thus it can be used to estimate the frequency. In this article, Marple algorithm of AR model is used to estimate the frequencies of a signal polluted by noises. The related factors of Marple algorithm to affect the estimation accuracy are discussed, and its effectiveness is experimentally simulated on a computer. The result shows that Marple algorithm is an effective tool for frequency estimation.

关 键 词：频率估计 自回归模型 Marple算法 

分 类 号：TN911.7[电子电信—通信与信息系统] O212.1[电子电信—信息与通信工程]