Research on the key technology of high-precision waveform synchronization identification and measurement

• Published in: PloS one 2024-03, Vol.19 (3), p.e0299027
• Main Authors: Gui, Dan, Yu, Zong-Jie
• Format: Article
• Language: English
• Subjects: Algorithms; Biology and Life Sciences; Computer Simulation; Design and construction; Engineering and Technology; Intelligence; Measurement; Measuring instruments; Microcontrollers; Physical Examination; Research and Analysis Methods; Signal processing; Simulation methods; Social Sciences; Technology
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0299027

High-precision waveform identification and measurement are effective for waveform detection and evaluation in signal processing. The accuracy of waveform identification, precision of measurement, and speed of response are important indicators of waveform measurement instruments. To detect the waveform accurately, a hold and attenuation circuit divided into two is designed, and the STM32F4 microcontroller is used to accurately capture and perform spectrum analysis using a high-precision analog-to-digital converter based on fast Fourier transform technology to identify key parameters, such as waveform type, frequency, peak-to-peak value, and duty cycle. To improve the recognition accuracy and response speed, technical solutions, such as high-frequency sampling and over-zero detection, are used to improve the system efficiency. Algorithm simulation, circuit simulation, and physical testing show that the high-precision waveform synchronization recognition circuit and algorithm can accurately recognize various essential waveforms in the voltage and frequency ranges of 50 mV ≤ VPP ≤ 10 V and 1 Hz ≤ f ≤ 50 kHz, respectively, and simultaneously measure important parameters, such as frequency, peak-to-peak value, and duty cycle with an accuracy within ±1%. Intelligent linkage, no intermediate parameter setting, and a response speed of approximately 0.3 s make it suitable for such applications as fast and high-precision waveform intelligent detection and display. The method is highly integrated, simple to operate, cost-effective, and practical.