CLC number: TP212.9
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2023-02-27
Cited: 0
Clicked: 2216
Citations: Bibtex RefMan EndNote GB/T7714
Yunpu ZHANG, Qiang FU, Ganlin SHAN. A multi-sensor-system cooperative scheduling method for ground area detection and target tracking[J]. Frontiers of Information Technology & Electronic Engineering, 2023, 24(2): 245-258.
@article{title="A multi-sensor-system cooperative scheduling method for ground area detection and target tracking",
author="Yunpu ZHANG, Qiang FU, Ganlin SHAN",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="24",
number="2",
pages="245-258",
year="2023",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2200121"
}
%0 Journal Article
%T A multi-sensor-system cooperative scheduling method for ground area detection and target tracking
%A Yunpu ZHANG
%A Qiang FU
%A Ganlin SHAN
%J Frontiers of Information Technology & Electronic Engineering
%V 24
%N 2
%P 245-258
%@ 2095-9184
%D 2023
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2200121
TY - JOUR
T1 - A multi-sensor-system cooperative scheduling method for ground area detection and target tracking
A1 - Yunpu ZHANG
A1 - Qiang FU
A1 - Ganlin SHAN
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 24
IS - 2
SP - 245
EP - 258
%@ 2095-9184
Y1 - 2023
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2200121
Abstract: A multi-sensor-system cooperative scheduling method for multi-task collaboration is proposed in this paper. We studied the method for application in ground area detection and target tracking. The aim of sensor scheduling is to select the optimal sensors to complete the assigned combat tasks and obtain the best combat benefits. First, an area detection model was built, and the method of calculating the detection risk was proposed to quantify the detection benefits in scheduling. Then, combining the information on road constraints and the doppler blind zone, a ground target tracking model was established, in which the posterior Carmér-Rao lower bound was applied to evaluate future tracking accuracy. Finally, an objective function was developed which considers the requirements of detection, tracking, and energy consumption control. By solving the objective function, the optimal sensor-scheduling scheme can be obtained. Simulation results showed that the proposed sensor-scheduling method can select suitable sensors to complete the required combat tasks, and provide good performance in terms of area detection, target tracking, and energy consumption control.
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