DocumentCode :
3664338
Title :
Moving sensor nodes´ tracking by WT-UKF in Wireless Sensor Networks
Author :
Liangfeng Chen;Xiaofeng Li;Jianping Wang;Qiyue Li;Wei Sun
Author_Institution :
Institute of Intelligent Machines, Chinese Academy of Sciences Hefei 230031, China
fYear :
2015
fDate :
5/1/2015 12:00:00 AM
Firstpage :
91
Lastpage :
94
Abstract :
Tracking moving sensor node is a key point in Wireless Sensor Networks (WSN). However, it´s difficult to achieve high tracking accuracy quickly because many problems should be solved. After analyzing those fundamental problems, Unscented Kalman Filter (UKF) is established to estimate the moving sensor node´s localization and environment argument simultaneously. To adapt for the case of colored measurement noise, the UKF model is improved to form a time-lag UKF model with Gauss Noise based on the first-order Auto Regressive (AR) model of the colored noise. To decrease the influence of dynamic variance of measurement noise in the time-lag UKF model, Wavelet Transformation (WT) is used to estimate the standard deviation of the measurement noise on-line fast, and the new model is named WT-UKF. In simulations, results show that WT-UKF is always better than UKF when the number of the measurement values analyzed by WT in one interval is set properly.
Keywords :
"Noise measurement","Accuracy","Colored noise","Wireless sensor networks","Adaptation models","Wavelet transforms"
Publisher :
ieee
Conference_Titel :
Electronics Information and Emergency Communication (ICEIEC), 2015 5th International Conference on
Print_ISBN :
978-1-4799-7283-8
Type :
conf
DOI :
10.1109/ICEIEC.2015.7284495
Filename :
7284495
Link To Document :
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