A New Method for Phase Difference Estimation Based on Time-Varying Signal Model

Abstract:

A new signal processing method for phase difference estimation was proposed based on time-varying signal model, whose frequency, amplitude and phase are time-varying. And then be applied Coriolis mass flowmeter signal. First, a bandpass filtering FIR filter was applied to filter the sensor output signal in order to improve SNR. Then, the signal frequency could be calculated based on short-time frequency estimation. Finally, by short window intercepting, the DTFT algorithm with negative frequency contribution was introduced to calculate the real-time phase difference between two enhanced signals. With the frequency and the phase difference obtained, the time interval of two signals was calculated. Simulation results show that the algorithms studied are efficient. Furthermore, the computation of algorithms studied is simple so that it can be applied to real-time signal processing for Coriolis mass flowmeter.

• Periodical: Applied Mechanics and Materials (Volumes 333-335)
• Pages: 650-655
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.333-335.650
• Online since: July 2013
• Authors: Peng Hui Niu*, Yin Lei Qin, Shun Ping Qu, Yang Lou
• Keywords: DTFT, Phase Difference Estimation, Random Walk Model, Time-Varying Signal

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