电力系统保护与控制Issue(18)：101-104,4.
基于粒子滤波的光学电流互感器信号处理方法研究
Research of signal processing of optical current transducer based on particle filter
摘要
Abstract
Effectively filtering out noise and improving the signal-to-noise ratio (SNR) and measurement accuracy is essential in signal processing for optical current transducers (OCT). This paper introduces the principle and SNR characteristics of OCT which is based on the Faraday Magneto-optic effect, and proposes a particle filtering method to address the problem of low SNR of OCT. In the verification on the simulation platform of MATLAB, a particle filtering dynamic model is established and a fission bootstrap particle filter (FBPF) algorithm with proper parameters is implemented, for direct current and alternative current respectively. The results indicate that the proposed method effectively improves SNR and measurement accuracy. This work is supported by National Natural Science Foundation of China (No. 51277066).关键词
粒子滤波/光学电流互感器/输出信噪比/法拉第效应/FBPFKey words
particle filter/optical current transducer/output signal to noise ratio/Faraday Magneto-optic effect/FBPF分类
信息技术与安全科学引用本文复制引用
向勇,李岩松..基于粒子滤波的光学电流互感器信号处理方法研究[J].电力系统保护与控制,2013,(18):101-104,4.基金项目
国家自然科学基金资助项目 （）
