Name:LI Wenchao

Gender:Male

Professional Title: Associate Research Fellow

Email:Associate Research Fellow

Website:

Research Group: Radar Sensing and Imaging Technology Lab

  • Research Interest

    Radar Forward-Looking Imaging; Superresolution; Deep Learning; SAR Raw Data Simulation; SAR Processing; Sparse signal processing               
  • Biography

    Wenchao Li is  an Associate Research Fellow in the school of Information and Communication Engineering at University of Electronic Science and Technology of China (UESTC). He received his Ph.D. degree from the department of Electronic Engineering at  UESTC in 2012 and joined the UESTC in the same year.  From 2016 to 2017, he was a visiting scholar at The Ohio State University. From 2025, he serves as Editorial Board Member for Sensors and Associate Editor for Frontiers in Antennas and Propagation. His  research focuses mainly  on radar forward-looking imaging, involving various imaging systems such as bistatic SAR, real beam scanning radar, multichannel radar, etc.                
  • Education Experience

    "2008-2012 Ph.D. in Information and Communication Engineering
                        University of Electronic Science and Technology of China, Chengdu, China
    2005-2008 M.S. in Communication and Information System
                        Chengdu University of Technology, Chengdu, China
    2001-2005 B.S. in Information Engineering
                        Chengdu University of Technology, Chengdu, China"               
  • Selected Publications

    1. W. Li, K. Zhang, R. Chen, B. Cheng, J. Wu and J. Yang, "Simultaneous Suppression of Residual Grating
        Lobes and Left/Right Ambiguity for Sparse Channel Forward-Looking SAR Imaging," in IEEE
        Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-13, 2025.
    2. W. Li, C. Kang, Z. Wang, G. Zhang, R. Chen, J. Wu and J. Yang , "Angular Resolution Enhancement for
        Multichannel Forward-Looking SAR Imaging Based on Zero-Shot Learning," in IEEE Geoscience and
        Remote Sensing Letters, vol. 22, pp. 1-5, 2025.
    3. W. Li, Z. Wang, R. Chen, Z. Li, J. Wu and J. Yang, "Traditional Synthetic Aperture Processing Assisted
        GAN-Like Network for Multichannel Radar Forward-Looking Superresolution Imaging," in IEEE
        Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-13, 2024.
    4. W. Li, L. Wang, D. Liu, T. Chen, Z. Li, J. Wu, H. Yang and J. Yang, "Raw Data Simulation Under Undulating    Terrain for Bistatic SAR with Arbitrary Configuration," in IEEE Journal of Selected Topics in Applied Earth
        Observations and Remote Sensing, vol. 17, pp. 12878-12892, 2024.
    5. R. Chen, W. Li, J. Yang, K. Li, K. Zhang and J. Wu, "Time–Frequency–Space Steering Matrix-Based
        Left/Right Ambiguity Resolving for Dual- Channel Forward-Looking SAR Imaging," in IEEE Transactions
        on Geoscience and Remote Sensing, vol. 62, pp. 1-12, 2024.
    6. W. Li, R. Chen, J. Yang, J. Wu, Y. Zhang and Y. Huang, "A Hybrid Real/Synthetic Aperture Scheme for
        Multichannel Radar Forward-Looking Superresolution Imaging," in IEEE Geoscience and Remote
        Sensing Letters, vol. 20, pp. 1-5, 2023.
    7. W. Li, D. Liu, L. Wang, X. Tao, Z. Li, J. Wu and J. Yang, "A Shadow Simulation Scheme for SAR Images
        of Undulating Terrain Based on Facet Cell Fitting and Elevation Angle Comparison," in IEEE Geoscience
        and Remote Sensing Letters, vol. 20, pp. 1-5, 2023.
    8. Y. Li, W. Li, Z. Sun, J. Wu, Z. Li and J. Yang, "An Autofocus Scheme of Bistatic SAR Considering Cross-
        Cell Residual Range Migration," in IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022.
    9. W. Li, W. Zhang, Q. Zhang, Y. Zhang, Y. Huang and J. Yang, "Simultaneous Super-Resolution and Target
        Detection of Forward-Looking Scanning Radar via Low-Rank and Sparsity Constrained Method," in IEEE
        Transactions on Geoscience and Remote Sensing, vol. 58, no. 10, pp. 7085-7095, Oct. 2020.
    10. W. Li, M. Niu, Y. Zhang, Y. Huang and J. Yang, "Forward-Looking Scanning Radar Superresolution
         Imaging Based on Second-Order Accelerated Iterative Shrinkage-Thresholding Algorithm," in IEEE
        Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 620-631,
        2020.           
  • Books

  • Selected Grants

    1. Principal Investigator (PI), "Forward-looking Hybrid Aperture Superresolution Imaging for Vehicle-mounted     Millimeter Wave Radar," Sichuan Provincial Natural Science Foundation, 2024-2025.
    2. PI, "Hybrid Coherent/Non-Coherent Forward-looking Imaging for Airborne Multichannel Radar,"
        National Natural Science Foundation of China (NSFC), 2022-2025.
    3. PI, "Spatial Variant Motion Compensation for Translational Variant Bistatic Forward-Looking  Synthetic Aperture Radar," NSFC, 2013-2015."               

Qingshuihe Campus Address: Block B, Scientific Research Building,
University of Electronic Science and Technology of China, No. 2006,
Xiyuan Avenue, High-tech Zone (West), Chengdu

Postcode:611731    Email: xintong@uestc.edu.cn

Telephone:028-61830156  Fax:028-61831665