Fuzzy Logic for Digital Phase-Locked Loop Filter Design

Daniel J. Simon; Hossny El-Sherief

doi:10.1109/91.388174

Fuzzy Logic for Digital Phase-Locked Loop Filter Design

Daniel J. Simon, Hossny El-Sherief

TRW System Integration Group

Research output: Contribution to journal › Article › peer-review

Abstract

The problem of robust phase-locked loop design has attracted attention for many years, particularly since the advent of the global positioning system. This paper proposes and demonstrates the use of a fuzzy PLL to estimate the time-varying phase of a sinusoidal signal. It is shown via simulation results that fuzzy PLL's offer performance comparable to analytically derived PLL's (e.g. Kalman filters and H _∞ estimators) when the phase exhibits high dynamics and high noise. The fuzzy PLL rules are optimized using a gradient descent method and a genetic algorithm

Original language	American English
Journal	IEEE Transactions on Fuzzy Systems
Volume	3
DOIs	https://doi.org/10.1109/91.388174
State	Published - May 1 1995

Keywords

Digital phase-locked loop filter
Fuzzy PLL
Fuzzy logic
Genetic algorithm
Gradient descent method
Sinusoidal signal
Time-varying phase

Disciplines

Electrical and Computer Engineering

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Fuzzy Logic for Digital Phase-Locked Loop Filter DesignFinal published version, 2.19 MBLicense: CC BY

Cite this

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title = "Fuzzy Logic for Digital Phase-Locked Loop Filter Design",

abstract = " The problem of robust phase-locked loop design has attracted attention for many years, particularly since the advent of the global positioning system. This paper proposes and demonstrates the use of a fuzzy PLL to estimate the time-varying phase of a sinusoidal signal. It is shown via simulation results that fuzzy PLL's offer performance comparable to analytically derived PLL's (e.g. Kalman filters and H ∞ estimators) when the phase exhibits high dynamics and high noise. The fuzzy PLL rules are optimized using a gradient descent method and a genetic algorithm",

keywords = "Digital phase-locked loop filter, Fuzzy PLL, Fuzzy logic, Genetic algorithm, Gradient descent method, Sinusoidal signal, Time-varying phase",

author = "Simon, \{Daniel J.\} and Hossny El-Sherief",

note = "Simon, D. El-Sherief, H. (1995). Fuzzy logic for digital phase-locked loop filter design. Fuzzy Systems, IEEE Transactions on 3(2), 211-218, doi: 10.1109/91.388174.",

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PY - 1995/5/1

Y1 - 1995/5/1

N2 - The problem of robust phase-locked loop design has attracted attention for many years, particularly since the advent of the global positioning system. This paper proposes and demonstrates the use of a fuzzy PLL to estimate the time-varying phase of a sinusoidal signal. It is shown via simulation results that fuzzy PLL's offer performance comparable to analytically derived PLL's (e.g. Kalman filters and H ∞ estimators) when the phase exhibits high dynamics and high noise. The fuzzy PLL rules are optimized using a gradient descent method and a genetic algorithm

AB - The problem of robust phase-locked loop design has attracted attention for many years, particularly since the advent of the global positioning system. This paper proposes and demonstrates the use of a fuzzy PLL to estimate the time-varying phase of a sinusoidal signal. It is shown via simulation results that fuzzy PLL's offer performance comparable to analytically derived PLL's (e.g. Kalman filters and H ∞ estimators) when the phase exhibits high dynamics and high noise. The fuzzy PLL rules are optimized using a gradient descent method and a genetic algorithm

KW - Digital phase-locked loop filter

KW - Fuzzy PLL

KW - Fuzzy logic

KW - Genetic algorithm

KW - Gradient descent method

KW - Sinusoidal signal

KW - Time-varying phase

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M3 - Article

VL - 3

JO - IEEE Transactions on Fuzzy Systems

JF - IEEE Transactions on Fuzzy Systems

ER -

Fuzzy Logic for Digital Phase-Locked Loop Filter Design

Abstract

Keywords

Disciplines

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