A fast-settling fractional-N PLL with presetting frequency and dynamic bandwidth control

Yao Li, Bo Zhou*, Fuyuan Zhao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A fast-settling dual-path fractional-N phase-locked loop(PLL) is presented in this paper, which is applied for frequent current charging and discharging. Compared with the conventional phase-locked loop, this one is significantly able to reduce the settling time with hybrid approaches. By employing direct presetting frequency, based on frequency-locked loop(FLL), the process locking is accelerated. To achieve low phase noise, 20-bits delta-sigma modulator is employed in PLL. Dynamic bandwidth is beneficial for both of them and results a smooth transition. Besides, the dual-path fractional-N PLL compensates the nonlinearity from the charge pump (CP), and provides a wider tuning range. Using the 0.6V supply voltage for 65nm CMOS, a 900MHz fractional-N PLL with mixed techniques exhibits less than 2.5μs transient settling time according the simulation results.

Original languageEnglish
Title of host publicationFuzzy Systems and Data Mining V - Proceedings of FSDM 2019
EditorsAntonio J. Tallon-Ballesteros
PublisherIOS Press BV
Pages1004-1011
Number of pages8
ISBN (Electronic)9781643680187
DOIs
Publication statusPublished - 2 Oct 2019
Event5th International Conference on Fuzzy Systems and Data Mining, FSDM 2019 - Kitakyushu, Japan
Duration: 18 Oct 201921 Oct 2019

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume320
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference5th International Conference on Fuzzy Systems and Data Mining, FSDM 2019
Country/TerritoryJapan
CityKitakyushu
Period18/10/1921/10/19

Keywords

  • Dynamic bandwidth
  • Fractional-N phase-locked loop (PLL)
  • Presetting frequency
  • Settling time

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Li, Y., Zhou, B., & Zhao, F. (2019). A fast-settling fractional-N PLL with presetting frequency and dynamic bandwidth control. In A. J. Tallon-Ballesteros (Ed.), Fuzzy Systems and Data Mining V - Proceedings of FSDM 2019 (pp. 1004-1011). (Frontiers in Artificial Intelligence and Applications; Vol. 320). IOS Press BV. https://doi.org/10.3233/FAIA190277