Analysis of time and frequency response for single/multi-tone stimulus harmonic phase-reference based on prime number algorithm

David A Humphreys, He Yu*, Cong Wang, Maoliu Liu, Luqman Ali, Fanyi Meng

*Corresponding author for this work

    Research output: Contribution to journalArticle (Academic Journal)peer-review

    Abstract

    We present a spectrally-dense phase-reference and its calibration for nonlinear vector network analyzers (NVNAs) using a step recovery diode (SRD) comb-generator with a multi-tone stimulus. Frequency selection for multi-tone stimulus based on prime number algorithms was used with the Digital Real-Time Oscilloscope (DRTO) to avoid the sub-Nyquist spurs components and to increase the effective sampling rate so that the waveform can be observed in greater detail. The measured results were calibrated to minimize drift and jitter and achieved excellent agreement between the prime number and the exact frequency strategies except at the sub-Nyquist frequencies. The analysis indicates that the prime number selected frequencies show significantly improved performance by avoiding the DRTO distortion components. We have verified the validity of the method described in this paper by experimental measurement results. View Full-Text
    Original languageEnglish
    Pages (from-to)1836
    Number of pages13
    JournalElectronics
    Volume9
    Issue number11
    DOIs
    Publication statusPublished - 3 Nov 2020

    Bibliographical note

    Shorter version presented by D A Humphreys at CPEM 2018. He Yu was a PhD Student at Harbin. She performed the measurements and I provided some guidance on my original analysis work.

    Keywords

    • digital real-time oscilloscope (DRTO)
    • harmonic phase-reference
    • multi-tone
    • prime number algorithm
    • sub-Nyquist spurs
    • nonlinear vector network analyzer (NVNA)

    Fingerprint

    Dive into the research topics of 'Analysis of time and frequency response for single/multi-tone stimulus harmonic phase-reference based on prime number algorithm'. Together they form a unique fingerprint.

    Cite this