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 :
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