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Characteristic pulse detection method for fuzzy area

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Języki publikacji
EN
Abstrakty
EN
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.
Rocznik
Strony
art. no. e140553
Opis fizyczny
Bibliogr. 26 poz., rys., tab.
Twórcy
autor
  • School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450000, China
autor
  • College of Information and Engineering, Hunan Normal University, Changsha 410081, China
Bibliografia
  • [1] X. Geng et al, “Different frequency synchronization theory and its frequency measurement practice teaching innovation based on Lissajous figure method,” J. Beijing Inst. Technol., vol. 27, no. 2, pp. 198–205, 2018, doi: 10.15918/j.jbit1004-0579.201827.0206.
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  • [10] V. Yatseev and O.V. Butov, “Phase-frequency time-gated reflectometry for absolute measurements,” in Proc. SPIE, vol 11772 (Optical Sensors 2021), p. 1177215, 2021, doi: 10.1117/12.2589223.
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  • [20] A. Yan et al, “Cost-effective and highly reliable circuit components design for safety-critical applications,” IEEE Trans. Aerosp. Electron. Syst., p. 1, 2021, doi: 10.1109/TAES.2021.3103586.
  • [21] K.X. Ren et al, “A time and frequency synchronization method for CO-OFDM based on CMA equalizers,” Opt. Commun., vol. 416, pp. 166–171, 2018, doi: 10.1016/j.optcom.2018.02.007.
  • [22] D. Hernandez-Balbuena et al, “Constraints definition and application optimization based on geometric analysis of the frequency measurement method by pulse coincidence,” Measurement, vol. 126, pp. 184–193, 2018, doi: 10.1016/j.measurement.2018.05.025.
  • [23] Y.Wu and J.L. Fu, “Noether’s theorems of variable mass systems on time scales,” Appl. Math. Nonlinear Sci, vol. 3, pp. 229–240, 2018, doi: 10.21042/AMNS.2018.1.00017.
  • [24] F.N. Murrieta-Rico et al, “Optimization of pulse width for frequency measurement by the method of rational approximations principle,” Measurement, vol. 125, pp. 463–470, 2018, doi: 10.1016/j.measurement.2018.05.008.
  • [25] G.X. Yang and H. Liang, “Adaptive frequency measurement in magnetic resonance coupling based WPT system,” Measurement, 2018, vol. 130, pp. 318–326, doi: 10.1016/j.measurement.2018.08.025.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-63fea68b-c80e-4a2c-8478-94401f22bd76
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