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

fYear

2013

Firstpage

169

Lastpage

174

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ComManTel.2013.6482385

Filename

6482385