Radar Emitter Signal Identification Based on Weighted Normalized Singular-value Decomposition
Leida xuebao, 2019 With the continuous advancement of modern technology, more types of radar and related technologies are continuously being developed, and the identification of radar emitter signals has gradually become a very important research field.
YUAN Ba, YAO Ping, ZHENG Tianyao
doaj +2 more sources
Radar emitter identification based on unintentional phase modulation on pulse characteristic [PDF]
Tongxin xuebao, 2020 Aiming at the problem of poor performance of the classification model in the case of unintentional phase modulation on pulse (UPMOP) to achieve radar specific emitter identification,a method for radar specific emitter identification with long and short ...
Xin QIN +3 more
doaj +4 more sources
Survey of Deep Learning for Radar Emitter Identification Based on Small Sample [PDF]
Jisuanji kexue, 2022 Traditional radar emitter identification methods can no longer meet the needs of identifying new-system radar emitters in the complicate and changeable electromagnetic environment.Deep learning methods can effectively extract the intra-pulse features of ...
SU Dan-ning, CAO Gui-tao, WANG Yan-nan, WANG Hong, REN He
doaj +1 more source
1D-CNN-Transformer for Radar Emitter Identification and Implemented on FPGA
Remote SensingDeep learning has brought great development to radar emitter identification technology. In addition, specific emitter identification (SEI), as a branch of radar emitter identification, has also benefited from it.
Xiangang Gao +3 more
doaj +2 more sources
Radar Emitter Individual Identification Based on Parameter Optimization VMD and LightGBM [PDF]
Hangkong bingqi, 2022 In order to solve the problem of low accuracy of radar emitter individual identification in complex electromagnetic environment, a radar emitter individual identification technology based on parameter optimization VMD and LightGBM is proposed.
Xiao Yihan, Li Dongnian, Yu Xiangzhen, Song Ke
doaj +1 more source
Radar emitter multi-label recognition based on residual network
Defence Technology, 2022 In low signal-to-noise ratio (SNR) environments, the traditional radar emitter recognition (RER) method struggles to recognize multiple radar emitter signals in parallel.
Yu Hong-hai +4 more
doaj +1 more source
A Specific Emitter Identification Algorithm under Zero Sample Condition Based on Metric Learning
Remote Sensing, 2021 With the development of information technology in modern military confrontation, specific emitter identification has become a hot and difficult topic in the field of electronic warfare, especially in the field of electronic reconnaissance.
Peng Man +3 more
doaj +1 more source
Experimental Study of Maritime Moving Target Detection Using Hitchhiking Bistatic Radar
Remote Sensing, 2022 Hitchhiking bistatic radar system takes the direct wave signal that is transmitted by the non-cooperative radar emitter as the reference to detect and analyze the target echo signal, so as to realize the positioning and tracking of the target. This radar
Jie Song +3 more
doaj +1 more source
IEEE Access, 2021 In the modern electronic warfare signal environment, multiple radar signals of high density are mixed and received, and separating them into signals for each emitter is an essential step for emitter identification. Each radar has its own pulse repetition
Jin-Woo Han, Cheong Hee Park
doaj +1 more source
Radar signals recognition based on attention and denoising residual network [PDF]
ITM Web of Conferences, 2022 To solve the problem that complex radar emitter signals are difficult to identify under low signal-to-noise ratio, this paper proposes a novel radar signal recognition method based on an improved deep residual network.
Ding Jiajun, Yan Yunyang, Liu Yian
doaj +1 more source