RT journal article
T1 Implementation of Processing Functions for Autonomous Power Quality Measurement Equipment: A Performance Evaluation of CPU and FPGA-Based Embedded System
A1 Cifredo Chacón, María Ángeles
A1 Pérez Peña, Fernando
A1 Quirós Olozábal, Ángel
A1 González de la Rosa, Juan José
A2 Ingeniería de Sistemas y AutomáticaTecnología Electrónica y Electrónica
K1 reconfigurable computing
K1 FPGA
K1 power quality
K1 spectral kurtosis
K1 digital signal processing
K1 embedded system
AB Motivated by the effects of deregulation over power quality and the subsequent need ofnew types of measurements, this paper assesses different implementations of an estimate for thespectral kurtosis, considered as a low-level harmonic detection. Performance of a processor-basedsystem is compared with a field programmable gate array (FPGA)-based solution, in order toevaluate the accuracy of this processing function for implementation in autonomous measurementequipment. The fourth-order spectrum, with applications in different fields, needs advanceddigital signal processing, making it necessary to compare implementation alternatives. In order toobtain reproducible results, the implementations have been developed using common design andprogramming tools. Several characteristics of the implementations are compared, showing that theincreasing complexity and reduced cost of the current FPGA models make the implementation ofcomplex mathematical functions feasible. We show that FPGAs improve the processing capabilityof the best processor using an operating frequency 33 times lower. This fact strongly supports itsimplementation in hand-held instruments.
PB MDPI
SN 1996-1073
YR 2019
FD 2019-03
LK http://hdl.handle.net/10498/21209
UL http://hdl.handle.net/10498/21209
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 07-nov-2026