无人机自主通信和组网能力评估方法

赵海涛; 高士顺; 王海军; 雍婷; 魏急波

doi:10.11959/j.issn.1000-436x.2020143

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无人机自主通信和组网能力评估方法

学术论文 | 更新时间：2024-06-05

- 无人机自主通信和组网能力评估方法
- Evaluation method for autonomous communication and networking capability of UAV
- 通信学报 2020年41卷第8期页码：87-98
- 作者机构：
  
  1. 国防科技大学电子科学学院，湖南长沙 410073
  2. 信息系统安全技术国家重点实验室，北京 100191
- 作者简介：
  
  [ "赵海涛（1981- ），男，山东昌乐人，博士，国防科技大学教授、博士生导师，主要研究方向为认知无线网络、自组织网络、协同通信" ]
  [ "高士顺（1996- ），男，天津人，国防科技大学硕士生，主要研究方向为认知网络接入技术、机器学习等" ]
  [ "王海军（1993- ），男，安徽淮北人，国防科技大学博士生，主要研究方向为无人机集群智能组网、信息物理系统等" ]
  [ "雍婷（1982- ），女，河南商丘人，信息系统安全技术国家重点实验室高级工程师、硕士生导师，主要研究方向为无线网络协议、智能无人系统安全等" ]
  [ "魏急波（1967- ），男，湖北汉川人，博士，国防科技大学教授、博士生导师，主要研究方向为软件无线电、认知通信与组网、通信信号处理等" ]
- 基金信息：
  
  国家自然科学基金资助项目(61931020)
- DOI：10.11959/j.issn.1000-436x.2020143
  中图分类号： TP393
- 网络首发：2020-08，
  
  纸质出版：2020-08-25
- 稿件说明：
移动端阅览
赵海涛, 高士顺, 王海军, 等. 无人机自主通信和组网能力评估方法[J]. 通信学报, 2020,41(8):87-98.

Haitao ZHAO, Shishun GAO, Haijun WANG, et al. Evaluation method for autonomous communication and networking capability of UAV[J]. Journal on Communications, 2020, 41(8): 87-98.
赵海涛, 高士顺, 王海军, 等. 无人机自主通信和组网能力评估方法[J]. 通信学报, 2020,41(8):87-98. DOI： 10.11959/j.issn.1000-436x.2020143.

Haitao ZHAO, Shishun GAO, Haijun WANG, et al. Evaluation method for autonomous communication and networking capability of UAV[J]. Journal on Communications, 2020, 41(8): 87-98. DOI： 10.11959/j.issn.1000-436x.2020143.

摘要

为了准确评估无人机系统的自主通信和组网能力以提升其智能化协同水平，面向复杂环境和对抗任务的中高端无人机系统，立足于实际需求，从自适应能力、自主决策能力、指令理解能力、计算和信息物理融合能力以及学习能力等多个角度分析无人机系统的自主通信和组网能力及其相互关系，建立无人机系统自主通信和组网能力构成模型，通过构造函数对各个影响要素实现合成计算，并通过一个范例来说明具体的评估过程。范例评估结果表明，所提方法比较全面地考虑了各方面的影响因素，可以对不同无人机系统的自主通信和组网能力进行定量的客观评价。

Abstract

In order to accurately evaluate the autonomous communication and networking capability of these unmanned system which was instructive to the intelligent collaboration of UAV (unmanned aerial vehicle) system

the research of the UAV system which was adapted to the complex environment with countermeasure possibilities was focused on.The autonomous communication and networking capability of UAV system and their relationship from multiple perspectives was analyzed and modeled

including self-adaptation

self-decision

man-UAV interaction

cyber-physical integration and evolution

and an example was provided to illustrate the detailed evaluation process.The example results show that the proposed method comprehensively consider all the key aspects of the performance evaluation

which can be used to quantitatively evaluate the autonomous communication and networking capability of different UAVs or other unmanned systems.

关键词

Keywords

references

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