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非半周期采样信号相位差估计的相位校正相关法
引用本文:沈艳林,周利坤,李明,肖玮.非半周期采样信号相位差估计的相位校正相关法[J].四川大学学报(工程科学版),2017,49(4):145-150.
作者姓名:沈艳林  周利坤  李明  肖玮
作者单位:武警后勤学院 军交运输系, 天津 300309;后勤工程学院 信息工程系, 重庆 401311,武警后勤学院 军交运输系, 天津 300309,后勤工程学院 信息工程系, 重庆 401311,后勤工程学院 信息工程系, 重庆 401311
基金项目:国家自然科学金资助项目(61601493);武警部队应用项目资助(WHK15-8);重庆市研究生科研创新项目资助(CYB14100)
摘    要:针对非半周期采样信号的相位差估计问题,提出一种非半周期采样信号相位差估计的相位校正相关法。首先,利用频率估计的相位匹配方法对采样信号进行频率估计,得到采样信号的频率估计值;其次,对采样信号进行互相关,得到互相关信号,并通过采样信号的信号时移和互相关构造一路新的互相关信号,使两路互相关信号具有相同的误差项;然后,利用两路互相关信号得到相位校正互相关信号;最后,利用相位校正互相关信号和频率估计值获得采样信号的相位差估计值。理论分析表明,该方法消除了采样信号非半周期采样对相位差估计的影响,无需预知信号幅值即可实现采样信号相位差的无偏估计。为验证所提方法的有效性和优越性,在不同相位差、信噪比和信号长度条件下对本文方法进行了仿真实验,并利用科氏流量计进行了应用实验。仿真实验结果表明,本文方法有效提高了非半周期采样信号的相位差估计精度,其相位差估计精度优于互相关方法、数据延拓式相关方法和正交时延估计方法的相位差估计精度,更接近克拉美罗下限。科氏流量计流量测量实验验证了本文方法在实际应用中的有效性。

关 键 词:相位差估计  相位校正  非半周期采样信号  频率估计
收稿时间:2016/3/1 0:00:00
修稿时间:2017/4/19 0:00:00

Phase Correction Correlation-based Phase Difference Estimation Method for Non-half Period Sampled Signals
SHEN Yanlin,ZHOU Likun,LI Ming and XIAO Wei.Phase Correction Correlation-based Phase Difference Estimation Method for Non-half Period Sampled Signals[J].Journal of Sichuan University (Engineering Science Edition),2017,49(4):145-150.
Authors:SHEN Yanlin  ZHOU Likun  LI Ming and XIAO Wei
Affiliation:Dept. of Military Traffic and Transport, Logistics Univ. of PAP, Tianjin 300309, China;Dept. of Info. Eng., Logistical Eng. Univ., Chongqing 401311, China,Dept. of Military Traffic and Transport, Logistics Univ. of PAP, Tianjin 300309, China,Dept. of Info. Eng., Logistical Eng. Univ., Chongqing 401311, China and Dept. of Info. Eng., Logistical Eng. Univ., Chongqing 401311, China
Abstract:Aiming at the problem of phase difference estimation for non-half period sampled signals,a phase correction correlation-based of phase difference estimation for non-half period sampled signals was proposed.Firstly,a phase match-based frequency estimation method was utilized to estimate the frequency of sampled signals.Secondly,cross-correlation signals were gained by cross-correlation of sampled signals and the new cross-correlation signals were constructed by shifting sampled signals and cross-correlation,which had the same error term with the original cross-correlation signals.Thirdly,phase correction cross-correlation signals were gained by means of two cross-correlation signals.Finally,estimated phase difference was obtained by utilizing phase correction cross-correlation signals and estimated frequency.Theoretical analysis indicated that the proposed method had eliminated the influence of non-half period sampled signals on phase difference estimation,and achieved unbiased phase difference estimation without estimating signal amplitudes.To validate the effectiveness and superiority of the proposed method,simulation on conditions of different phase differences,signal-to-noise ratios(SNRs),signal lengths was performed.Then,the application experiment was conducted by using Coriolis mass flowmeters.Simulation and experimental results demonstrated that the proposed method improved the estimation precision of phase difference.Its estimation performance was better than those of the cross-correlation method,the data extension-based correlation method and the quadrature delay estimator and its estimation errors were closer to CRLB by comparison.The measurement results of Coriolis mass flowmeters validated the effectiveness of the proposed method in practice.
Keywords:phase difference estimation  phase correction  non-half period sampled signals  frequency estimation
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