一种面向地面区域检测和目标跟踪的多传感器系统协同调度方法

张昀普; 付强; 单甘霖

doi:10.1631/FITEE.2200121

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一种面向地面区域检测和目标跟踪的多传感器系统协同调度方法

常规文章 | Updated：2023-02-27

- 一种面向地面区域检测和目标跟踪的多传感器系统协同调度方法
- A multi-sensor-system cooperative scheduling method for ground area detection and target tracking
- 信息与电子工程前沿(英文版) 2023年24卷第2期页码：245-258
- Affiliations：
  
  Department of Electronic and Optical Engineering, Shijiazhuang Campus, Army Engineering University, Shijiazhuang 050003, China
- Author bio：
  
  ‡Corresponding author
- Funds：
  
  the Defense Pre-research Fund Project of China(LJ20191C020393)
- DOI：10.1631/FITEE.2200121
  中图分类号： TP212.9
- 收稿：2022-03-27，
  
  修回：2022-08-16，
  
  纸质出版：2023-02-0
- Accepted：
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张昀普, 付强, 单甘霖. 一种面向地面区域检测和目标跟踪的多传感器系统协同调度方法[J]. 信息与电子工程前沿(英文版), 2023,24(2):245-258.

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.
张昀普, 付强, 单甘霖. 一种面向地面区域检测和目标跟踪的多传感器系统协同调度方法[J]. 信息与电子工程前沿(英文版), 2023,24(2):245-258. DOI： 10.1631/FITEE.2200121.

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. DOI： 10.1631/FITEE.2200121.

摘要

本文提出一种面向多任务协同的多传感器系统协同调度方法，并将其应用于地面区域检测和目标跟踪。调度的目的是选择最佳的传感器来完成分配的作战任务，并获得最佳作战收益。首先建立区域检测模型，并提出检测风险的计算方法以量化在调度中的检测收益。然后结合道路约束信息和多普勒盲区信息建立地面目标跟踪模型，并引入后验克拉美罗下限评估未来时刻的跟踪精度。最后，考虑检测、跟踪和能耗控制的需求建立目标函数，通过求解目标函数，得到最优的传感器调度方案。仿真结果表明，所提传感器调度方法可以选择合适的传感器完成所需作战任务，并在区域检测、目标跟踪和能耗控制方面均具有良好性能。

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.

关键词

Keywords

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