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论文成果

2024

  • Y. Zhang, B. Jiu, Y. Zhao, H. Liu, J. Yan and M. Greco, "Attention Mechanism-based Anti-Jamming Detector with Generative Adversarial Training," in IEEE Transactions on Aerospace and Electronic Systems, doi: 10.1109/TAES.2024.3420256.
  • W. Jiang, H. Liu, B. Jiu, Y. Zhao, K. Li and Y. Zhang, "Full-Dimensional Partial-Search Generalized Radon-Fourier Transform for High-Speed Maneuvering Target Detection," in IEEE Transactions on Aerospace and Electronic Systems, doi: 10.1109/TAES.2024.3393449.
  • C. Wang, B. Jiu, W. Pu, K. Li, Y. Zhao and H. Liu, "Backward and Sequential Inductions for Anti-Jamming Equilibrium Strategy Generation of Frequency Agile Radar," in IEEE Transactions on Aerospace and Electronic Systems, doi: 10.1109/TAES.2024.3383414.
  • J. Geng, B. Jiu, K. Li, Y. Zhao, C. Wang and H. Liu, "Multiagent Reinforcement Learning for Antijamming Game of Frequency-Agile Radar," in IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 1-5, 2024, Art no. 3504805, doi: 10.1109/LGRS.2024.3382041.
  • K. Li, H. Liu, B. Jiu, W. Pu, X. Peng and J. Yan, "Knowledge Aided Model-Based Reinforcement Learning for Anti-Jamming Strategy Learning," in IEEE Transactions on Aerospace and Electronic Systems, doi: 10.1109/TAES.2024.3358779.

2023

  • Geng J, Jiu B, Li K, et al. Radar and Jammer Intelligent Game under Jamming Power Dynamic Allocation[J]. Remote Sensing, 2023, 15(3): 581.
  • B. Yang, K. Li, B. Jiu, Y. Zhao, Y. Wang and H. Liu, "An Intelligent Jamming Strategy Design Method Against Frequency Agility Radar," 2023 IEEE International Radar Conference (RADAR), Sydney, Australia, 2023, pp. 1-6, doi: 10.1109/RADAR54928.2023.10371123.
  • Chao Wang, Bo Jiu, Wenqiang Pu, Kang Li, Yu Zhao, Hongwei Liu, Anti-jamming Equilibrium Strategy Learning of Frequency Agile Radar based on Monte Carlo Tree Search, IEEE International Radar Conference (RADAR).
  • Youai Wu, Bo Jiu, Yu Zhang, Hao Zheng, Yangbo Yang, Hongwei Liu, An FDA-MIMO-Based Range-Ambiguous Clutter Sensing Approach for STAP, IEEE International Radar Conference (RADAR).
  • Youlin Fan, Bo Jiu, Wenqiang Pu, Kang Li, Yu Zhang, Hongwei Liu,An inverse reinforcement learning method to infer reword function of intelligent jammer, IEEE International Radar Conference (RADAR).
  • L. Bai, B. Jiu, K. Li, H. Liu, Y. Zhao and B. Yang, "Importance Differentiation Based Coordinated Anti-Jamming Strategy Optimization for Frequency Agile Radar," 2023 IEEE International Radar Conference (RADAR), Sydney, Australia, 2023, pp. 1-5, doi: 10.1109/RADAR54928.2023.10371103
  • Wenqi Jiang, Bo Jiu, Yu Zhao, Hongwei Liu, Yu Zhang, Chunlei Wang,High-Speed Maneuvering Target Detector Based On Deep Residual Network, IET International Radar Conference (IET IRC 2023)
  • Ruofan Liu, Danlei Xu, Bo Jiu , Youlin Fan, Yu Zhang, Hongwei Liu, Multi-target High-resolution DOA Estimation based on Sparse Reconstruction for Frequency Agility Radar, IET International Radar Conference (IET IRC 2023)
  • Yu Zhang, Bo Jiu, Youai Wu, Wenqi Jiang, Youlin Fan, Hongwei Liu, A CNN-based Target Component Extraction Method under Jamming Background, IET International Radar Conference (IET IRC 2023)

2022

  • Yu Zhang,Bo Jiu,Xiaojun Peng,Hongwei Liu,Wenqi Jiang,A new scheme of target detection for pulse Doppler radar in interrupted sampling repeater jamming environment,IET RSN,DOI: 10.1049/rsn2.12300
  • K. Li, B. Jiu, W. Pu, H. Liu and X. Peng, "Neural Fictitious Self-Play for Radar Antijamming Dynamic Game With Imperfect Information," in IEEE Transactions on Aerospace and Electronic Systems, vol. 58, no. 6, pp. 5533-5547, Dec. 2022, doi: 10.1109/TAES.2022.3175186.
  • H. Zheng, B. Jiu and H. Liu, "Waveform Design Based ECCM Scheme Against Interrupted Sampling Repeater Jamming for Wideband MIMO Radar in Multiple Targets Scenario," in IEEE Sensors Journal, vol. 22, no. 2, pp. 1652-1669, 15 Jan.15, 2022, doi: 10.1109/JSEN.2021.3131491. 

2021

  • Y. Zhang, B. Jiu, P. Wang, H. Liu and S. Liang, "An end-to-end anti-jamming target detection method based on CNN," in IEEE Sensors Journal, doi: 10.1109/JSEN.2021.3103042.
  • C. Wang, J. Zheng, B. Jiu and H. Liu, "A model-and-data-driven method for radar highly maneuvering target detection," in IEEE Transactions on Aerospace and Electronic Systems, doi: 10.1109/TAES.2021.3054073.
  • Kang Li, Bo Jiu, Penghui Wang, Hongwei Liu, Yuchun Shi, Radar active antagonism through deep reinforcement learning: A Way to address the challenge of mainlobe jamming, Signal Processing, Volume 186, 2021, 108130, ISSN 0165-1684, https://doi.org/10.1016/j.sigpro.2021.108130.
  • Y. Shi, B. Jiu, J. Yan, H. Liu and K. Li, "Data-Driven Simultaneous Multibeam Power Allocation: When Multiple Targets Tracking Meets Deep Reinforcement Learning," in IEEE Systems Journal, vol. 15, no. 1, pp. 1264-1274, March 2021, doi: 10.1109/JSYST.2020.2984774.
  • Chunlei Wang, Bo Jiu, Hongwei Liu, Maneuvering target detection in random pulse repetition interval radar via resampling-keystone transform, Signal Processing, Vol. 181, pp. 107899, 2021.
  • Li, K.; Jiu, B.; Liu, H.; Pu,W. Robust Antijamming Strategy Design for Frequency-Agile Radar against Main Lobe Jamming. Remote Sens. 2021, 13, 3043. https://doi.org/10.3390/rs13153043
  • Y. Shi, B. Jiu, J. Yan, H. Liu and K. Li, "Data-Driven Simultaneous Multibeam Power Allocation: When Multiple Targets Tracking Meets Deep Reinforcement Learning," in IEEE Systems Journal, vol. 15, no. 1, pp. 1264-1274, March 2021, doi: 10.1109/JSYST.2020.2984774.

2020

  • Yuan Liu, Bo Jiu, Hongwei Liu , ADMM-based transmit beampattern synthesis for antenna arrays under a constant modulus constraint, Signal Processing, https://doi.org/10.1016/j.sigpro.2020.107529
  • Yuchun Shi, Bo Jiu*, Junkun Yan, Hongwei Liu, and Kang Li, Data-Driven Simultaneous Multibeam Power Allocation: When Multiple Targets Tracking Meets Deep Reinforcement Learning, IEEE Systems Journal,
  • Kang Li, Bo Jiu*, Hongwei Liu, Ruiying Lu(李康,纠博*,刘宏伟,鲁瑞颖)End-to-end cubic phase signal recovery method based on deep convolutional neural network, IET Radar Sonar Navig., 2020, Vol. 14 Iss. 1, pp. 110-117

2019

  • Yuan Liu , Bo Jiu, Hongwei Liu , Clutter-based gain and phase calibration for monostatic MIMO radar with partly calibrated array, Signal Processing 158 (2019) 219–226
  • Kang Li, Bo Jiu, Hongwei Liu, Ruiying Lu(李康,纠博,刘宏伟,鲁瑞颖)End-to-end cubic phase signal recovery method based on deep convolutional neural network , IET Radar, Sonar & Navigation
  • Kang Li, Bo Jiu, Hongwei Liu(李康,纠博,刘宏伟), Game Theoretic Strategies Design for Monostatic Radar and Jammer Based on Mutual Information, IEEE Access, 2019,Vol.7,pp.72257-72266
  • Yuchun Shi, Bo Jiu, Hongwei Liu(时玉春,纠博,刘宏伟), Optimization-Based Discontinuous Observation Strategy for Micro-Dopper Signature of Space Cone Targets, IEEE Access, 2019,Vol.7, pp.58915-58929
  • Chunlei Wang, Hongwei Liu, Bo Jiu(王春蕾,刘宏伟,纠博), Sliding Residual Network for High-Speed Target Detection in Additive White Gaussian Noise Environments, IEEE Access, 2019,Vol.7,pp.124925-124936
  • Yue Zhao, Bo Jiu, Lei Zhang, Hongwei Liu, Zhenfang Li(赵越,纠博,张磊,刘宏伟,李真芳), 3D Fully Polarimetric Attributed Scattering Center Extraction Based on Sequential 2D SAR Images, IEEE Access, 2019,Vol.7,pp.58570-58583
  • Yue zhao, Lei Zhang, Bo Jiu, Hongwei Liu, ZhenFang Li(赵越,张磊,纠博,刘宏伟,李真芳), Three-dimensional reconstruction for space targets with multistatic inverse synthetic aperture radar systems, EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 卷: 2019 期: 1
  • Kang Li, Bo Jiu, Hongwei Liu(李康,纠博,刘宏伟), Deep Q-Network based Anti-Jamming Strategy Design for Frequency Agile, Radar 2019 International Radar Conference,  2019, Toulon France, 23-27 September,(法国)
  • Chunlei Wang, Bo Jiu, Hongwei Liu(王春蕾,纠博,刘宏伟), Direction-of-arrival Estimation Based on Direct Data Domain Approach for Coprime Array, Radar 2019 International Radar Conference,  2019, Toulon France, 23-27 September,(法国)