An efficient sensor scheduling for target tracking

Author

Hoang-Hiep Le ; Chen, Joy Iong-Zong

Author_Institution

Dept. of Electr. Eng., Dayeh Univ., Changhua, Taiwan

fYear

2014

fDate

13-14 Feb. 2014

Firstpage

1

Lastpage

4

Abstract

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.

Keywords

AWGN channels; Kalman filters; optimisation; scheduling; sensors; target tracking; AWGN channel; Kalman filter technique; additive white Gaussian noise channel; computational cost; efficient sensor scheduling; memory utilization reduction; mobile sensor management; moving target tracking problem; propagation environment; sensor sequence; unconstrained optimization; Educational institutions; Sensors; Target tracking; AWGN; Kalman Filter; mobile sensor; target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics and Communication Systems (ICECS), 2014 International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4799-2321-2

Type

conf

DOI

10.1109/ECS.2014.6892742

Filename

6892742