DocumentCode
1834627
Title
Simulation Test of Filtering with Uncertain Observations for Target Tracking in WSN
Author
Zhiyu Gao ; Hongyan Yu
Author_Institution
Coll. of Inf. Technol., Henan Univ. of Traditional Chinese Med., Zhengzhou, China
Volume
2
fYear
2013
fDate
26-27 Aug. 2013
Firstpage
15
Lastpage
18
Abstract
Aimed at solving the data packet loss problems using target tracking methods in WSN, analyzs several mathematical model and algorithm with uncertain observation filter can achieve it Based on Kalman filter framework, thus establish WSN target tracking filter simulation model, and use the algorithm simulation test was carried out. Simulation results show that the different model under uncertain observation filtering method of filtering effect is different, multi-step packet loss model applied to moving target tracking in WSN has excellent tracking performance.
Keywords
Kalman filters; target tracking; tracking filters; wireless sensor networks; Kalman filter framework; WSN target tracking filter simulation model; data packet loss problem; filtering effect; mathematical model; multistep packet loss model; simulation test; target tracking method; uncertain observation filter; Filtering algorithms; Mathematical model; Maximum likelihood detection; Nonlinear filters; Packet loss; Target tracking; Filtering with Uncertain Observations; Simulation Test; multi-step packet loss model; target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-0-7695-5011-4
Type
conf
DOI
10.1109/IHMSC.2013.151
Filename
6642679
Link To Document