A Compound ECCM Technique for FMCW Radars by Dogancan Eser, Simsek Demir, Sencer Koc

“…This paper presents a compound electronic counter-countermeasure (ECCM) technique for frequency-modulated continuous-wave (FMCW) radars to counter electronic countermeasure (ECM) techniques such as coherent spoofing, non-coherent spoofing, and digital radio frequency memory (DRFM) jamming. …”
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Aerial intelligent reflecting surface for secure wireless networks: Secrecy capacity and optimal trajectory strategy (invited paper) by Hehao Niu, Zheng Chu, Zhengyu Zhu, Fuhui Zhou

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Effect of Cross-eye Jamming on the Active-passive Composite Monopulse Radar by Dong LI, Jin MENG, Yongcai LIU, Liang ZHOU, Binbin SU

“…Cross-eye jamming is an electronic countermeasure technology used to cause angular deviation of monopulse radar via multiple coherent sources. …”
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The impact of stealth target drone dimensions on missiles operational effectiveness evaluation by LIU Fengjun, ZHAO Yang, ZHANG Li

“…This paper makes a detailed comparison and analysis of the differences between the small stealth target and the real stealth aircraft in radar scattering characteristics, physical dimensions, vulnerability, electronic countermeasure characteristics, etc. Through the study of the impact of the differences in target characteristics on missile functions and effectiveness, it is believed that the small stealth target is difficult to be comprehensive to accurately evaluate the operational effectiveness of missiles due to its own shape and size inherent characteristics, it is necessary to attach importance to the development of large-scale stealth target aircraft, which is of positive significance for evaluating the operational effectiveness of missiles and correctly guiding the improvement of missile anti stealth capability.…”
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Evaluating the therapeutic effect of tumor treating fields (TTFields) by monitoring the impedance across TTFields electrode arrays by Xing Li, Moshe Oziel, Boris Rubinsky

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Terrain Classification of Polarimetric Synthetic Aperture Radar Images Based on Deep Learning and Conditional Random Field Model by HU Tao, LI Weihua, QIN Xianxiang, WANG Peng, YU Wangsheng, LI Jun

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Accurate Estimation the Scanning Cycle of the Reconnaissance Radar Based on a Single Unmanned Aerial Vehicle by Pengwu Wan, Benjian Hao, Zan Li, Xiao Ma, Yue Zhao

“…Scanning cycle of the monitoring radar is an important parameter for the counterreconnaissance of the hostile radar source in the electronic countermeasure. Since the pulse Doppler (PD) radar is one of the most widely used type in modern reconnaissance radar domains, this paper focuses on scanning cycle estimation of the reconnaissance radar (PD radar) using a single unmanned aerial vehicle (UAV). …”
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A Radar Emitter Recognition Mechanism Based on IFS-Tri-Training Classification Processing by Jundi Wang, Xing Wang, Yuanrong Tian, Zhenkun Chen, You Chen

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Measurement and evaluation method of radar anti-jamming effectiveness based on principal component analysis and machine learning by Liangwei Qi, Jingke Zhang, Zong-Feng Qi, Lu Kong, Yu Tang

“…Abstract With the development of modern electronic countermeasure technology, the fight between radar jamming and anti-jamming has become increasingly fierce. …”
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A Rapid Accurate Recognition System for Radar Emitter Signals by Jingpeng Gao, Liangxi Shen, Lipeng Gao, Yi Lu

“…Radar signal recognition is an indispensable part of an electronic countermeasure system. In order to solve the problem that the current techniques have, which is a low recognition rate and a slow recognition speed for radar signals, a rapid accurate recognition system is proposed, especially for when multiple signals arrive at the receiver. …”
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PARAFAC Estimators for Coherent Targets in EMVS-MIMO Radar with Arbitrary Geometry by Lei Zhang, Han Wang, Fang-Qing Wen, Jun-Peng Shi

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A Sequential Decision Algorithm of Reinforcement Learning for Composite Action Space by Yuan Gao, Ye Wang, Lei Zhang, Lihong Guo, Jiang Li, Shouhong Sun

“…It is the key research object of electronic warfare to use UAV (Unmanned Aerial Vehicle) clusters to carry out electronic countermeasure tasks. The UAV carries loads such as reconnaissance and interference at the same time, which makes it necessary to simultaneously decide multiple types of actions—namely, compound actions—which poses a challenge to intelligent decision-making algorithms. …”
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BSDSNet: Dual-Stream Feature Extraction Network Based on Segment Anything Model for Synthetic Aperture Radar Land Cover Classification by Yangyang Wang, Wengang Zhang, Weidong Chen, Chang Chen

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A Distribution Independent Ship Detector for PolSAR Images by Zhou Xu, Chongyi Fan, Shuiying Cheng, Jian Wang, Xiaotao Huang

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Design of radar pulse deinterleaving scheme using deep learning by Zhang, Chenxin

“…As an important part of modern electronic countermeasure technology, radar reconnaissance is the basis of electronic jamming and electronic defence. …”
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Groundwater non-carcinogenic health risk comprehensive assessment based on DLAFVRT model in an island city by Yong Huang, Daqing Wang, Zijian Cheng, Haoli Xu, Zhibin Ding, Zhao Lu, Huiru Cui, Kun Qian

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Anti-jamming MTI radar using variable pulse-codes by Lin, Kenny, 1978-

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Drone Detection Method Based on MobileViT and CA-PANet by Qianqing Cheng, Xiuhe Li, Bin Zhu, Yingchun Shi, Bo Xie

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IRelNet: An Improved Relation Network for Few-Shot Radar Emitter Identification by Zilong Wu, Meng Du, Daping Bi, Jifei Pan

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A Real-Time UAV Target Detection Algorithm Based on Edge Computing by Qianqing Cheng, Hongjun Wang, Bin Zhu, Yingchun Shi, Bo Xie

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