周期信号的频率检测方法研究  

Study on the method of detecting the frequencies of periodic signals

作　　者：王一夫[1] 许鹏[1] 杨小林[1] 韩宇[1] 

机构地区：[1]湖南师范大学数学与计算机科学学院,湖南长沙410081

出　　处：《长沙通信职业技术学院学报》2011年第1期34-37,共4页Journal of Changsha Telecommunications and Technology Vocational College

基　　金：湖南省科技厅项目资助(2009GK3014)

摘　　要：在信号处理中,实际问题中的很多数据表现出明显的周期特点,且实际测量到的信号通常会受到历史记录的影响,对于这种类型的信号,文章提出将回归模型和隐周期模型结合起来检测信号中的隐频率的方法:自回归隐周期模型。文章对自回归隐周期模型中的参数进行了估计,并通过一个模拟的例子验证了该方法的有效性。由于在随机干扰背景下能否成功地检测出各信号的角频率成分是一个有实际意义的问题,文章提出的方法在气象、天文、机械振动、共振研究和调和信号处理方面有广泛的应用。In signal processing,a lot of data in real situation is periodic,and the data is affected by its past.In this paper,the author proposes a new method to deal with such kinds of data： the AR and hidden periodic model which can detect the hidden frequency by combining the methods of auto-regressive model and hidden periodic model.The author introduces the estimation of the parameters in the model and simulates an example to validate the method.Because under the circumstance of random disturbance,how to estimate the components of different frequency is one of the most important problems in signal processing,the method proposed in this paper has extensively application in meteorology,astronomy,mechanism oscillation,resonance study and processing of conciliate signals.

关 键 词：自回归 隐周期模型 频率 

分 类 号：TN911.6[电子电信—通信与信息系统]