High-Resolution Multi-Channel Frequency Standard Comparator Using Digital Frequency Measurement

Xiao, Bo; Ya, Liu; Li, Xiaohui; Deng, Zhifeng; Xue, Yong

doi:10.3390/s21165626

Cited by 4 publications

(5 citation statements)

References 13 publications

(13 reference statements)

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“…Among them, nonparametric electrical parametric measurement methods have been widely used because of their high operational efficiency. For example, Xue, Y proposed a digital frequency measurement method that combines sine wave beat technology, multi-channel synchronous acquisition technology and digital frequency measurement technology to achieve precision measurement of atomic frequency standards with high-frequency measurement accuracy and low background noise for accurate measurement of high stable frequency sources using differential compensation of system errors [6]. Chen, C. H et al used digital analysis and waveform recording function of digital oscilloscope to eliminate the drawbacks of traditional analog integrator circuits and determine the initial integration point by Fourier filtering to reflect the dynamic operating characteristics of its applied material [7].…”

Section: Introductionmentioning

confidence: 99%

Modeling Method of Multiplexed Sampling Electrical Parameter Characteristics Based on AIOT Sensing Module

Li,

Jing,

Zhu

et al. 2023

Applied Mathematics and Nonlinear Sciences

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In order to further reduce the errors arising in synchronous sampling, this paper designs a multi-channel hybrid sampling electrical parametric feature modeling method based on an AIOT sensing module in the process of design. The AIOT sensing module is used to process the received RF signals using a transconductance amplifier to improve the digitization and reconfigurability of the RF front-end circuit. The signal is transformed and calculated using the Fast Fourier Transform to obtain electrical parameters such as the amplitude of each harmonic and the power factor. The results show that the variation amplitude of the window function of the design method in this paper is generally maintained between -1.5 and 1.5, the amplitude accuracy of the active power rate is within 3.17555%, and the relative error accuracy is within 0.000951%. It can be seen that the AIOT-based sensing module can significantly improve the calculation accuracy of electrical parameters and can be applied to the process of sampling digital measurements of other power signal characteristics.

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Section: Introductionmentioning

confidence: 99%

Modeling Method of Multiplexed Sampling Electrical Parameter Characteristics Based on AIOT Sensing Module

Li,

Jing,

Zhu

et al. 2023

Applied Mathematics and Nonlinear Sciences

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show abstract

“…A digital frequency measurement method is proposed is proposed in [17] to overcome the difficulty that the single zero-crossing point detection is sensitive to noise in the traditional dual mixer time difference measurement method.The proposed method uses sinusoidal beat technology, multi-channel synchronous acquisition technology, and digital frequency measurement technology. Sensor less control of BLDC motor based on zero-crossing point detection of the back electromotive force (BEMF) is proposed in [18].…”

Section: Introductionmentioning

confidence: 99%

Non-Zero Crossing Point Detection in a Distorted Sinusoidal Signal Using Logistic Regression Model

Veeramsetty¹,

Srinivasula²,

Salkuti

2022

Computers

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Non-Zero crossing point detection in a sinusoidal signal is essential in case of various power system and power electronics applications like power system protection and power converters controller design. In this paper 96 data sets are created from a distorted sinusoidal signal based on MATLAB simulation. Distorted sinusoidal signals are generated in MATLAB with various noise and harmonic levels. In this paper, logistic regression model is used to predict the non-zero crossing point in a distorted signal based on input features like slope, intercept, correlation and RMSE. Logistic regression model is trained and tested in Google Colab environment. As per simulation results, it is observed that logistic regression model is able to predict all non-zero-crossing point in a distorted signal.

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“…Analog interpolation uses the analog method to measure the time interval between the frequency signal and the actual gate signal. Compared with the first two methods, the analog interpolation can improve the resolution by three orders of magnitude, but it requires a longer time for conversion, the nonlinearities are difficult to control, and the count error of ±1 character still exists [5][6][7][8][9]. The design philosophy behind the vernier method is similar to that of a mechanical vernier caliper.…”

Section: Introductionmentioning

confidence: 99%

Bulletin of the Polish Academy of Sciences: Technical Sciences

Geng

2022

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In order to achieve higher frequency measurement accuracy, this paper proposed a characteristic pulse detection method of fuzzy area based on the quantized phase processing method of different frequency groups. First, the fuzzy area of the group phase coincidence points continuously moved on the time axis after passing through delay elements. The moving distance, that is, the number of the delay elements was determined by the main clock cycle of the D flip-flop. After that, three groups of phase coincidence detection fuzzy areas in different positions were sent to the digital logic module to extract the edge pulses of the phase coincidence detection fuzzy area. The pulse width is determined by the difference between the clock cycles of the delay elements. The clock cycles of different delay units were adjusted to obtain nanosecond or even picosecond circuit detection resolution. Finally, the pulses generated at the edge of the phase coincidence fuzzy area are taken as the switching signal of the frequency signal counter, so the stability of the gate signal and the accuracy of the gate time measurement are improved. The experimental results show that frequency stability can reach the order of E-13/s. In addition, compared with the traditional measurement method, it is characterized by simple structure, low cost, low noises, and high measurement resolution.

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High-Resolution Multi-Channel Frequency Standard Comparator Using Digital Frequency Measurement

Cited by 4 publications

References 13 publications

Modeling Method of Multiplexed Sampling Electrical Parameter Characteristics Based on AIOT Sensing Module

Modeling Method of Multiplexed Sampling Electrical Parameter Characteristics Based on AIOT Sensing Module

Non-Zero Crossing Point Detection in a Distorted Sinusoidal Signal Using Logistic Regression Model

Bulletin of the Polish Academy of Sciences: Technical Sciences

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