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1
Real‐time dwell scheduling algorithm for phased array radar based on a backtracking strategy
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Real‐time dwell scheduling algorithm for phased array radar based on a backtracking strategy

Li, Zhongzhu ; Cheng, Ting ; Heng, Siyu

IET radar, sonar & navigation, 2023-02, Vol.17 (2), p.261-276 [Periódico revisado por pares]

Wiley

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Joint Optimization of Jamming Type Selection and Power Control for Countering Multifunction Radar Based on Deep Reinforcement Learning
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Joint Optimization of Jamming Type Selection and Power Control for Countering Multifunction Radar Based on Deep Reinforcement Learning

Pan, Zesi ; Li, Yunjie ; Wang, Shafei ; Li, Yan

IEEE transactions on aerospace and electronic systems, 2023-08, Vol.59 (4), p.4651-4665 [Periódico revisado por pares]

New York: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)

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3
Self-Supervised Contrastive Learning for Extracting Radar Word in the Hierarchical Model of Multifunction Radar
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Self-Supervised Contrastive Learning for Extracting Radar Word in the Hierarchical Model of Multifunction Radar

Feng, Han Cong ; Jiang, Kai Li ; Zhao, Yu Xin ; Al-Malahi, Abdulrahman ; Tang, Bin

IEEE transactions on aerospace and electronic systems, 2023-12, Vol.59 (6), p.9621-9634 [Periódico revisado por pares]

New York: IEEE

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4
Adaptive dwell scheduling for simultaneous multi-beam radar system based on array element selection with different polarization characteristics
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Adaptive dwell scheduling for simultaneous multi-beam radar system based on array element selection with different polarization characteristics

Heng, Siyu ; Cheng, Ting ; He, Zishu ; Wang, Yuanqing ; Li, Zhongzhu

Digital signal processing, 2023-08, Vol.140, p.104093, Article 104093 [Periódico revisado por pares]

Elsevier Inc

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5
Unsupervised Techniques for Identifying the Mode of a Multi-Functional Radar with Varying Pulse Sequences
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Unsupervised Techniques for Identifying the Mode of a Multi-Functional Radar with Varying Pulse Sequences

ROOK, Jayson ; CHENG, Chi-Hao

IEICE Transactions on Information and Systems, 2023/11/01, Vol.E106.D(11), pp.1822-1830 [Periódico revisado por pares]

Tokyo: The Institute of Electronics, Information and Communication Engineers

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6
Pulse Deinterleaving for Multifunction Radars With Hierarchical Deep Neural Networks
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Pulse Deinterleaving for Multifunction Radars With Hierarchical Deep Neural Networks

Liu, Zhang-Meng

IEEE transactions on aerospace and electronic systems, 2021-12, Vol.57 (6), p.3585-3599 [Periódico revisado por pares]

New York: IEEE

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7
An End-to-End Deep Learning Approach for State Recognition of Multifunction Radars
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An End-to-End Deep Learning Approach for State Recognition of Multifunction Radars

Xu, Xinsong ; Bi, Daping ; Pan, Jifei

Sensors (Basel, Switzerland), 2022-07, Vol.22 (13), p.4980 [Periódico revisado por pares]

Basel: MDPI AG

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8
Timeliness Constrained Task Scheduling for Multifunction Radar Network
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Timeliness Constrained Task Scheduling for Multifunction Radar Network

Tian, Tuanwei ; Zhang, Tianxian ; Kong, Lingjiang

IEEE sensors journal, 2019-01, Vol.19 (2), p.525-534 [Periódico revisado por pares]

New York: IEEE

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9
Few-Shot Recognition of Multifunction Radar Modes via Refined Prototypical Random Walk Network
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Few-Shot Recognition of Multifunction Radar Modes via Refined Prototypical Random Walk Network

Zhai, Qihang ; Li, Yan ; Zhang, Zilin ; Li, Yunjie ; Wang, Shafei

IEEE transactions on aerospace and electronic systems, 2023-06, Vol.59 (3), p.2376-2387 [Periódico revisado por pares]

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10
Mode Recognition of Multifunction Radars for Few-Shot Learning Based on Compound Alignments
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Mode Recognition of Multifunction Radars for Few-Shot Learning Based on Compound Alignments

Zhang, Zilin ; Li, Yan ; Zhai, Qihang ; Li, Yunjie ; Gao, Meiguo

IEEE transactions on aerospace and electronic systems, 2022-12, Vol.58 (6), p.5860-5874 [Periódico revisado por pares]

IEEE

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