Title :
Research on particle filtering based on genetic algorithm
Author :
Ping, Wang ; Jinghai, Zhang ; Guodong, Cui
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
Abstract :
Genetic algorithm was introduced into the particle filtering in this paper. With the ability of global searching and optimizing, genetic algorithm overcomes the phenomenon of degeneracy and sample impoverishment. By simulation, the results show that the use of genetic algorithm to particle filtering is feasible, and this method is superior to the traditional re-sampling algorithm. Finally, the virtual realization of a standard particle filtering and genetic sampling particle filtering was made by LabVIEW. The experimental results proved that the genetic sampling particle filtering is better.
Keywords :
genetic algorithms; particle filtering (numerical methods); LabVIEW; genetic algorithm; genetic sampling particle filtering; resampling algorithm; virtual realization; Automation; Conferences; Electrical engineering; Genetics; MATLAB; Particle filters; Genetic Algorithm; Particle Filtering; Virtual Realization;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554950