A novel particle filter-based digital phase-locked loop robust against quantization error

Jun Ho Chung, Sung Hyun You, Jung Min Pak, Jeong Hoon Kim, Myo Taeg Lim, Moon Kyou Song

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Using digital phase-locked loops (DPLL) is an efficient way of estimating phase information. To obtain accurate phase information, the Kalman filter (KF) has become a powerful tool in many applications. In digital systems, the DPLL measurement is transformed into a quantized measurement. During this process, missing measurement information, known as quantization errors, certainly occurs. However, quantization errors are an inevitable problem in digital system implementation, where the KF-based DPLL (KFDPLL) may show poor estimation performance. In order to estimate accurate phase information in the presence of quantization errors, we propose a particle filter-based DPLL (PFDPLL) to overcome the poor performance of the KFDPLL. Through numerical examples, we show that the PFDPLL is more robust against quantization errors than the KFDPLL.

Original languageEnglish
Pages (from-to)457-461
Number of pages5
JournalInternational Journal of Control, Automation and Systems
Volume15
Issue number1
DOIs
Publication statusPublished - 2017 Feb 1

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Phase locked loops
Kalman filters

Keywords

  • Digital phase locked-loop
  • estimation
  • particle filter
  • quantization error

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications

Cite this

A novel particle filter-based digital phase-locked loop robust against quantization error. / Chung, Jun Ho; You, Sung Hyun; Pak, Jung Min; Kim, Jeong Hoon; Lim, Myo Taeg; Song, Moon Kyou.

In: International Journal of Control, Automation and Systems, Vol. 15, No. 1, 01.02.2017, p. 457-461.

Research output: Contribution to journalArticle

Chung, Jun Ho ; You, Sung Hyun ; Pak, Jung Min ; Kim, Jeong Hoon ; Lim, Myo Taeg ; Song, Moon Kyou. / A novel particle filter-based digital phase-locked loop robust against quantization error. In: International Journal of Control, Automation and Systems. 2017 ; Vol. 15, No. 1. pp. 457-461.
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