scholarly journals Phase-difference measurement in iVLBI and application in the measurement of lunar rotation

2011 ◽  
Vol 63 (5) ◽  
pp. 399-410
Author(s):  
Ming Chen ◽  
Nobuyuki Kawano ◽  
Kun Shang ◽  
Jing Sun ◽  
Qinghui Liu ◽  
...  
2019 ◽  
Vol 19 (2) ◽  
pp. 48-52
Author(s):  
Nan Chen ◽  
Shangchun Fan ◽  
Dezhi Zheng

Abstract According to the characteristics of stable single-phase flow, a phase difference measurement method based on the extended Kalman filter is proposed in this paper for use with Coriolis mass flowmeters. Firstly, the Mallat algorithm is applied to filter out interference signals. Then, the frequency and phase difference of the two reconstructed signals are detected through the extended Kalman filter. Compared with the sliding Goertzel algorithm or discrete time Fourier transform, the proposed method does not need to predict the signal frequency and avoids quadratic error. Simulations and experiments show that the proposed method has stronger anti-interference, higher measurement accuracy and lower relative error than the existing method based on the Hilbert transformation.


2014 ◽  
Vol 34 (6) ◽  
pp. 0612006
Author(s):  
常丽 Chang Li ◽  
杨继敏 Yang Jimin

Author(s):  
Muhammad Riaz ur Rehman ◽  
Imran Ali ◽  
Pervesh Kumar ◽  
SungJin Kim ◽  
Kang-Yoon Lee

2013 ◽  
Vol 765-767 ◽  
pp. 2399-2402
Author(s):  
Bu Xin You ◽  
He Zhi Liu ◽  
Peng Tian ◽  
Jia Xu ◽  
Jing Bu

Based on the small scale power system frequency fluctuation frequency leakage problems due to the FFT phase measurement error problem, this paper presents a high accuracy algorithm for phase difference measurement based on windowed discrete Fourier transform, the signal truncated using 4 order Blackman-Harris window, and corrects the phase correction method for discrete spectrum thus to calculate the phase difference. The algorithm for phase difference measurement theory and signal frequency independent, so there is no need to sample the signals of the whole cycle. A simple algorithm, less calculation, high precision, has strong inhibition on the harmonic and noise, simulation results verify the feasibility and effectiveness of the algorithm.


2016 ◽  
Vol 65 (11) ◽  
pp. 2595-2600 ◽  
Author(s):  
Andrei Pokatilov ◽  
Toomas Kubarsepp ◽  
Viktor Vabson

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