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基于自相关函数相位的频率估计方法方差分析
引用本文:齐国清,吕健.基于自相关函数相位的频率估计方法方差分析[J].大连海事大学学报(自然科学版),2007,33(4):5-9.
作者姓名:齐国清  吕健
作者单位:大连海事大学信息工程学院,大连海事大学航海学院 辽宁大连116026
摘    要:为了分析基于自相关函数相位频率估计方法的性能,推导了加性高斯白噪声背景中正弦信号观测数据的相关函数相位噪声的表示式,得到了相位噪声方差的计算公式和基于自相关函数相位的频率估计方差的计算公式,给出了此类频率估计方法的估计方差与信噪比、观测数据长度以及对相关函数相位差进行平滑时利用的相关函数的点数关系.仿真结果与该文给出的公式计算结果吻合很好.

关 键 词:自相关函数  频率估计  方差分析  正弦信号  误差分析
文章编号:1006-7736(2007)04-0005-05
收稿时间:2007-09-11
修稿时间:2007年9月11日

Variance analysis on sinusoid frequency estimators based on the argument of the sample autocorrelation function
QI Guo-qing,LV Jian.Variance analysis on sinusoid frequency estimators based on the argument of the sample autocorrelation function[J].Journal of Dalian Maritime University,2007,33(4):5-9.
Authors:QI Guo-qing  LV Jian
Abstract:Frequency estimators based on the argument of the sample autocorrelation function outperform those based on the phase of the samples of the sinusoid signal in additive white Gaussian noise background.The expression of the noise in the argument of the sample autocorrelation function was given to investigate the performance of these estimators.And formulas for evaluating the variance of sample autocorrelation argument noise and the variance of frequency estimation based on the sample autocorrelation argument were derived.The relations among frequency estimation variance and signal-to-noise ratio,length of the measurement time,and sample numbers used in smoothing the autocorrelation function can be determined using these formulas.Computer simulation results confirm the correctness of the proposed formulas.
Keywords:autocorrelation function  frequency estimation  variance analysis  sinusoid  error analysis
本文献已被 CNKI 维普 万方数据 等数据库收录!
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