TY - GEN
T1 - An efficient sensor scheduling for target tracking
AU - Le, Hoang Hiep
AU - Chen, Joy Iong Zong
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - In this paper we study an efficiently and simple algorithm for mobile sensor management in moving target tracking problem. The novel method leads to reduce comparison number of sensor sequences and executive time for unconstrained optimization. It results in reduce memory utilization and computational cost as well. The Kalman Filter technique is applied to predict posteriori state of target. In addition, the propagation environment is additive white Gaussian noise (AWGN) channel. Numerical example reveals this algorithm can obtain the optimal scheduling by an uncomplicated implementation.
AB - In this paper we study an efficiently and simple algorithm for mobile sensor management in moving target tracking problem. The novel method leads to reduce comparison number of sensor sequences and executive time for unconstrained optimization. It results in reduce memory utilization and computational cost as well. The Kalman Filter technique is applied to predict posteriori state of target. In addition, the propagation environment is additive white Gaussian noise (AWGN) channel. Numerical example reveals this algorithm can obtain the optimal scheduling by an uncomplicated implementation.
UR - http://www.scopus.com/inward/record.url?scp=84908631764&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84908631764&partnerID=8YFLogxK
U2 - 10.1109/ECS.2014.6892742
DO - 10.1109/ECS.2014.6892742
M3 - Conference contribution
AN - SCOPUS:84908631764
T3 - 2014 International Conference on Electronics and Communication Systems, ICECS 2014
BT - 2014 International Conference on Electronics and Communication Systems, ICECS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 International Conference on Electronics and Communication Systems, ICECS 2014
Y2 - 13 February 2014 through 14 February 2014
ER -