1 |
LIY J, ZHUM T, MAY H, et al. Work modes recognition and boundary identification of MFR pulse sequences with a hierarchical seq2seq LSTM[J]. IET Radar, Sonar & Navigation, 2020, 14(9): 1343-1353.
|
2 |
王玉冰, 程嗣怡, 周一鹏, 等. 基于DS证据理论的机载火控雷达空空工作模式判定[J]. 现代雷达, 2017, 39(5): 79-84.
|
|
WANGY B, CHENGS Y, ZHOUY P, et al. Air-to-air operation modes recognition of airborne fire control radar based on DS evidence theory[J]. Modern Radar, 2017, 39(5): 79-84. (in Chinese)
|
3 |
董晓璇, 程嗣怡, 周一鹏, 等. 基于时域模糊决策融合的雷达工作模式识别方法[J]. 空军工程大学学报(自然科学版), 2018, 19(6): 59-65.
|
|
DONGX X, CHENGS Y, ZHOUY P, et al. A recognition method of radar operation modes based on time-domain fuzzy decision fusion[J]. Journal of Air Force Engineering University(Natural Science Edition), 2018, 19(6): 59-65. (in Chinese)
|
4 |
陈维高, 贾鑫, 朱卫纲, 等. 基于HMM的雷达状态转移估计方法[J]. 北京航空航天大学学报, 2017, 43(10): 2171-2180.
|
|
CHENW G, JIAX, ZHUW G, et al. Radar state transfer estimation method based on HMM[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(10): 2171-2180. (in Chinese)
|
5 |
刘海军. 雷达辐射源识别关键技术研究[D]. 长沙: 国防科学技术大学, 2010.
|
|
LIUH J. Researches on Identification Key Technology for Radar Emitter[D]. Changsha: National University of Defense Technology, 2010. (in Chinese)
|
6 |
贠洁, 孙闽红, 官友廉. 基于雷达字建模的多功能雷达工作模式识别[J]. 杭州电子科技大学学报(自然科学版), 2020, 40(6): 19-25.
|
|
YUNJ, SUNM H, GUANY L. Recognizing multi-function radar working mode based on radar word modeling[J]. Journal of Hangzhou Dianzi University(Natural Sciences), 2020, 40(6): 19-25. (in Chinese)
|
7 |
秦鑫, 黄洁, 查雄, 等. 基于扩张残差网络的雷达辐射源信号识别[J]. 电子学报, 2020, 48(3): 456-462.
|
|
QINX, HUANGJ, ZHAX, et al. Radar emitter signal recognition based on dilated residual network[J]. Acta Electronica Sinica, 2020, 48(3): 456-462. (in Chinese)
|
8 |
马爽. 多功能雷达电子情报信号处理关键技术研究[D]. 长沙: 国防科学技术大学, 2013.
|
|
MAS. Research on ELINT Signal Processing Key Technologies for Multifunction Radar[D]. Changsha: National University of Defense Technology, 2013. (in Chinese)
|
9 |
刘俊江. 机载火控雷达工作模式识别[J]. 电子测量技术, 2016, 39(2): 131-133, 146.
|
|
LIUJ J. Airborne fire control radar work modes recognition[J]. Electronic Measurement Technology, 2016, 39(2): 131-133, 146. (in Chinese)
|
10 |
OU J, CHENY G, ZHAOF, et al. Method for operating mode identification of multi-function radars based on predictive state representations[J]. IET Radar, Sonar & Navigation, 2017, 11(3): 426-433.
|
11 |
朱克凡, 王杰贵, 刘有军. 小样本条件下基于数据增强和WACGAN的雷达目标识别算法[J]. 电子学报, 2020, 48(6): 1124-1131.
|
|
ZHUK F, WANGJ G, LIUY J. Radar target recognition algorithm based on data augmentation and WACGAN with a limited training data[J]. Acta Electronica Sinica, 2020, 48(6): 1124-1131. (in Chinese)
|
12 |
金秋园. 小样本雷达工作模式的识别研究[D]. 成都: 电子科技大学, 2021.
|
|
JINQ Y. Research of Radar Working Mode Recognition with few Samples[D]. Chengdu: University of Electronic Science and Technology of China, 2021. (in Chinese)
|
13 |
赵凯琳, 靳小龙, 王元卓. 小样本学习研究综述[J]. 软件学报, 2021, 32(2): 349-369.
|
|
ZHAOK L, JINX L, WANGY Z. Survey on few-shot learning[J]. Journal of Software, 2021, 32(2): 349-369. (in Chinese)
|
14 |
刘颖, 雷研博, 范九伦, 等. 基于小样本学习的图像分类技术综述[J]. 自动化学报, 2021, 47(2): 297-315.
|
|
LIUY, LEIY B, FANJ L, et al. Survey on image classification technology based on small sample learning[J]. Acta Automatica Sinica, 2021, 47(2): 297-315. (in Chinese)
|
15 |
樊笛, 巨志勇. 基于原型网络的小样本图像识别方法[J]. 计算机与现代化, 2020, (3): 103-107.
|
|
FAND, JUZ Y. Method of small sample image recognition based on prototype network[J]. Computer and Modernization, 2020, (3): 103-107. (in Chinese)
|