DocumentCode
550372
Title
Improved particle filter algorithms for target tracking in binary wireless sensor network
Author
Yang Xiaodong ; Xiang Fenghong ; Mao Jianlin ; Guo Ning
Author_Institution
Fac. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China
fYear
2011
fDate
22-24 July 2011
Firstpage
4968
Lastpage
4971
Abstract
Particle filter algorithm with adaptive process noise variance is proposed for target tracking applications in binary wireless sensor network (BWSN). The algorithm adopts updated variance of system noise to eliminate the cumulative effect of particle filter prediction error. It has better tracking accuracy when target travel with constant velocity or variable velocity. The simulation results show that the algorithm is superior to the standard particle filter.
Keywords
particle filtering (numerical methods); target tracking; wireless sensor networks; adaptive process noise variance; binary wireless sensor network; constant velocity; cumulative effect; particle filter; prediction error; target tracking; target travel; variable velocity; IP networks; Particle filters; Prediction algorithms; Sensors; Target tracking; Wireless sensor networks; Adaptive-variance; Particle Filter; Target Tracking; Wireless Sensor Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2011 30th Chinese
Conference_Location
Yantai
ISSN
1934-1768
Print_ISBN
978-1-4577-0677-6
Electronic_ISBN
1934-1768
Type
conf
Filename
6000710
Link To Document