DocumentCode :
532056
Title :
A particle filter algorithm of voltage amplitude tracking for electric signal with short-time disturbance
Author :
Tang, Ye ; Yang, Ling ; Fan, Lin-Bo
Author_Institution :
Depts. Comput. Sci., Zunyi Normal Coll., Zunyi, China
Volume :
6
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
This paper, aiming at voltage amplitude changes proceed tracking study when arisen from lightning waves electric signal by the short-time disturbance, and an algorithm of modified particle filter used in random tracking the voltage amplitude is proposed, which used random process, Bayes method and Monte Carlo - sequential particle filter tracking algorithm and combined of various prior information to improve the accuracy of the signal power tracking. Then through the simulation experiments to prove the effectiveness of this algorithm, thus the nonlinear problem which is electric system tracking voltage signal random disturbance, is resolved.
Keywords :
Bayes methods; Monte Carlo methods; electromagnetic interference; lightning; particle filtering (numerical methods); power transmission; random processes; tracking; Bayes method; Monte Carlo method; lightning waves electric signal; particle filter algorithm; random process; short-time disturbance; signal power tracking; voltage amplitude tracking; Annealing; Particle filters; resample; short-time disturbance; voltage tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5619375
Filename :
5619375
Link To Document :
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