Title :
A new evaluation of particle filter algorithm and apply it to the wireless sensor networks
Author :
Nguyen, Trung Dung ; Trinh, Hung Tin ; Nguyen, Van Due ; Nguyen, Ngoc Tuan ; Nguyen, Thanh Tung ; Koichiro, Wakasugi
Author_Institution :
Faculty of Electronic and Telecommunication Ha Noi University of Technology Ha Noi. Viet Nam
Abstract :
Particle filter algorithm (Particle Filter, Sequential Importance Resampling — SIR) is one of popular algorithms. It is popular not only because of the simplicity of the idea and installation but also because of its efficiency when modeling the complex and time varying nonlinear and non-Gaussian signal system. In this paper, we will represent the content of the Particle filter algorithm, and we will make a comparison between the Particle filtering algorithm and Extended Kalman filter algorithm [9] which is widely used nowadays. In addition, we also offer an evaluation of the number of particles which will be used in the Particle filter algorithm when deploying in a wireless sensor network model
Keywords :
Algorithm design and analysis; Approximation algorithms; Kalman filters; Mathematical model; Monte Carlo methods; Particle filters; Sensors; Particle filter; Sequential Importance Resampling; Sequential Importance Sampling; target tracking;
Conference_Titel :
Computing, Management and Telecommunications (ComManTel), 2013 International Conference on
Conference_Location :
Ho Chi Minh City, Vietnam
Print_ISBN :
978-1-4673-2087-0
DOI :
10.1109/ComManTel.2013.6482385
