DocumentCode
2674211
Title
Multi-target tracking using the sign of innovations in wireless sensor networks
Author
Zhang, Zhi ; Li, Jianxun ; Han, Shan ; Zhu, Qiang
Author_Institution
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
fYear
2012
fDate
23-25 May 2012
Firstpage
3353
Lastpage
3357
Abstract
For wireless sensor networks, target tracking is an important application areas, but the communication consumption and the lower power resource should be taken into account. Currently, the wireless sensor networks for quantitative tracking method are more concentrate on single-target tracking. This paper presents a new method based on quantitative multi-target tracking. First, in order to meet the wireless sensor networks nodes have to save power energy, and reduce communication energy consumption requirements. We introduce a new joint probability data association using the sign of innovations (SOI-JPDA), this algorithm can afford lowest energy consumption, and the performance and complexity are very close to the standard joint probability data association algorithm. Second, we propose a distributed multi-target tracking algorithm based on SOI-JPDA in wireless sensor networks. Simulation results show that this algorithm can successfully track multiple targets with minimal power consumption in wireless sensor networks.
Keywords
radar tracking; sensor fusion; target tracking; wireless sensor networks; JPDA; SOI; communication energy consumption reduction; distributed multitarget tracking algorithm; joint probability data association algorithm; power consumption; power resource; quantitative multitarget tracking method; sign of innovations; single-target tracking; wireless sensor networks; Estimation; Joints; Signal processing algorithms; Simulation; Target tracking; Technological innovation; Wireless sensor networks; Multi-Target Tracking; Sign of Innovation; Wireless Sensor Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location
Taiyuan
Print_ISBN
978-1-4577-2073-4
Type
conf
DOI
10.1109/CCDC.2012.6244533
Filename
6244533
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