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作 者:张本辉[1] 刘松涛[2] ZHANG Ben-hui;LIU Song-tao(Department of Ship Command,Dalian Naval Academy,Dalian 116018,China;Department of Information System,Dalian Naval Academy,Dalian 116018,China)
机构地区:[1]海军大连舰艇学院舰船指挥系,辽宁大连116018 [2]海军大连舰艇学院信息系统系,辽宁大连116018
出 处:《中国电子科学研究院学报》2023年第9期864-872,共9页Journal of China Academy of Electronics and Information Technology
摘 要:随着各种新型辐射源的出现或战时预留模式的采用,实际战场电磁环境日益复杂,大概率会出现未知辐射源,传统辐射源识别方法的准确率必将受到较大影响。文中首先分析了未知辐射源对识别精度影响的机理;然后,重点从领域自适应和开集学习两个方面综述了未知辐射源识别方法;最后,对未知辐射源识别的发展方向提出几点思考。With the emergence of various new radiation sources or the use of wartime reserve mode,the actual battlefield electromagnetic environment is becoming more and more complex,and unknown radiation sources will been received with high probability,which would greatly affect the accuracy of traditional radiation source identification methods.Firstly,This paper analyzes the mechanism of the influence of unknown radiation sources on the recognition accuracy,and then the recognition methods of unknown radiation sources are summarized from two aspects:domain adaptive and open set learning.Finally,some thoughts has been put forward on the development direction of unknown radiation sources recognition.
分 类 号:TN957.51[电子电信—信号与信息处理]
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