航空学报 > 2018, Vol. 39 Issue (10): 22209-022209   doi: 10.7527/S1000-6893.2018.22209

空中目标传感器管理方法综述

闫涛1,2, 韩崇昭1,2, 张光华1,2   

  1. 1. 西安交通大学 电信学院 综合自动化研究所, 西安 710049;
    2. 西安交通大学 智能网络与网络安全教育部重点实验室, 西安 710049
  • 收稿日期:2018-04-16 修回日期:2018-06-29 出版日期:2018-10-15 发布日期:2018-07-04
  • 通讯作者: 闫涛 E-mail:yantao@mail.xjtu.edu.cn
  • 基金资助:
    国家自然科学基金(61573020,61573271);陕西省自然科学基金(2017JQ6049);中央高校基本科研业务费(xjj2018020)

An overview of sensor management approaches for aerial target

YAN Tao1,2, HAN Chongzhao1,2, ZHANG Guanghua1,2   

  1. 1. Institute of Integrated Automation, School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China;
    2. MOE Key Lab for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an 710049, China
  • Received:2018-04-16 Revised:2018-06-29 Online:2018-10-15 Published:2018-07-04
  • Supported by:
    National Natural Science Foundation of China (61573020, 61573271); Natural Science Foundation of Shaanxi Province (2017JQ6049); Fundamental Research Funds for the Central Universities (xjj2018020)

摘要: 为了避免对有限的多传感器资源的无序竞争和使用,多传感系统通常在一定约束条件下工作。传感器管理即是对传感器系统的自由度进行控制,以满足实际的约束条件并实现既定的任务目标,被大规模地应用于诸如区域目标监视、空中交通管制等各种军用与民用领域。首先,给出了传感器管理系统的概念定义与基本目标;然后,对过去及现在各种空中目标传感器管理方面的理论、方法以及应用进行了全面的综述与深入的分析,并对传感器管理领域现存的问题提出了解决思路和方法;最后,对该领域下一步的发展方向做出了展望。

关键词: 传感器管理, 决策过程, 多目标跟踪, 信息增益, 优化

Abstract: To prevent the simultaneous use of limited resources, a multi-sensor system typically operates under resource constraints. Sensor management approaches change the freedom degree of system to actively manage these resources during its deployment in reaction to previous measurements. This approach has been widely used in a variety of military and civilian applications, e.g. target region surveillance and air traffic management. First, the definition and fundamental objectives of sensor management are demonstrated in this paper. Then, an overview of the theories, methods and applications of sensor management for aerial target from the past to the present is illustrated, and some constructive ideas for tackling the obstacles of the latest approaches are provided. Finally, some future challenges and opportunities are illustrated.

Key words: sensor management, decision process, multi-target tracking, information gain, optimization

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