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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7383
Title: Frequency Estimation Based on Moving-Window DFT with Fractional Bin-Index for Capacitance Measurement
Authors: Tyagi T.
Sumathi, Parasuraman
Published in: IEEE Transactions on Instrumentation and Measurement
Abstract: A frequency estimation technique is proposed with fractional bin-index-based moving-window discrete Fourier transform (MWDFT). In order to increase the range of estimation frequencies, different MWDFTs with bin-indices k=0.5 , 1, 1.5, 2, and 2.5 are chosen and incorporated in the frequency estimator. The structure of the MWDFT is modified with the positive feedforward coefficients for fractional bin-indices and negative coefficients for integer multiples. The frequency of the input signal is estimated by adaptively adjusting the sampling pulses for MWDFT with integer and fractional bin-indices. The proposed frequency estimator is validated through field programmable gate array implementation for measuring a capacitance range of 89.201-1420.69 pF. A relaxation oscillator with a measurand as capacitance exhibits a square wave whose frequency is inversely related to the measurand. The frequency of the square wave is estimated through the proposed DFT procedure instantaneously by extracting the fundamental sinusoidal signal and tracking the same with the feedback loop. The experimental investigation on the proposed method proves to be accurate and computationally efficient, and offers a wide operating range with less acquisition time. © 1963-2012 IEEE.
Citation: IEEE Transactions on Instrumentation and Measurement (2019), 68(7): 2560-2569
URI: https://doi.org/10.1109/TIM.2018.2866298
http://repository.iitr.ac.in/handle/123456789/7383
Issue Date: 2019
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Adaptive parameter estimation
capacitance measurement
frequency estimation
frequency locked-loop (FLL)
moving-window discrete Fourier transform (MWDFT)
sampling pulse adjustment (SPA)
sliding window filter
ISSN: 189456
Author Scopus IDs: 57203750512
56998549500
Author Affiliations: Tyagi, T., Department of Electrical Engineering, IIT Roorkee, Roorkee, 247 667, India
Sumathi, P., Department of Electrical Engineering, IIT Roorkee, Roorkee, 247 667, India
Corresponding Author: Sumathi, P.; Department of Electrical Engineering, IIT RoorkeeIndia; email: sumichan04@gmail.com
Appears in Collections:Journal Publications [EE]

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