无人系统认知联合抗干扰通信研究综述

doi:10.3778/j.issn.1002-8331.2109-0334

摘要/Abstract

摘要： 随着电磁环境日益复杂、敌我对抗态势越发激烈，对无人系统信息传输的可靠性提出了更高的要求，传统节点的认知通信模式已难以适应未来自主化、分布式的宽带联合抗干扰发展趋势。针对无人系统面临的抗干扰低截获通信需求，围绕干扰的检测识别、变换分析和多域抑制等认知抗干扰关键技术展开具体分析，梳理常见的检测估计和分类识别研究现状；对典型干扰类型进行分类建模，总结变换处理过程的方法和问题；并对传统干扰抑制方法和新型干扰抑制方法进行了系统性概述，分析了未知干扰的分类识别、多样干扰的时域消除、分布干扰的联合分离以及协同干扰的优化控制等制约宽带联合抗干扰的关键问题，突出认知抗干扰技术对无人系统通信的重要作用。

关键词: 无人系统, 认知抗干扰通信, 干扰检测, 干扰抑制

Abstract: As the electromagnetic environment becomes more and more complex as well as the confrontation becomes more and more intense, it puts forward higher requirements for the reliability of information transmission of unmanned systems whereas the traditional cognitive communication mode is difficult to adapt to the independent and distributed development trend of broadband joint anti-interference in future. For the need of low anti-interference intercepted communications surrounded in unmanned systems, this paper analyzes the cognitive anti-interference technologies about interference detection and identification, transformation analysis and suppression in multiple domains and so on. The research status of common detection and estimation, classification and recognition are summarized. Then, typical interference types are modeled correspondingly, and transformation methods and processing problems are concluded. Furthermore, traditional interference suppression methods and new interference suppression methods are systematically summarized. Finally, the key problems of restricting the joint interference of broadband are addressed, such as the classification and recognition of unknown interference, the temporal elimination of multiple interference, the joint separation of distributed interference and the optimal control of collaborative interference, which highlight the important role of cognitive interference suppression technology in unmanned system communication.

Key words: unmanned systems, cognitive anti-interference communication, interference detection, interference suppression

王桂胜, 董淑福, 黄国策. 无人系统认知联合抗干扰通信研究综述[J]. 计算机工程与应用, 2022, 58(8): 1-11.

WANG Guisheng, DONG Shufu, HUANG Guoce. Review of Cognitive and Joint Anti-Interference Communication in Unmanned System[J]. Computer Engineering and Applications, 2022, 58(8): 1-11.

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