职称：讲师
研究方向：智能无线感知、雷达目标探测
代表性成果：
发表SCI检索论文：
[1] Yuanyuan Wang, Fengzhou Dai, and Shuai Ding. Radar Angular Resolution Enhancement Based on Dynamic Reflective Metasurface Generated Mirror Array [J]. IEEE Transactions on Microwave Theory and Techniques, 2024, 1-14.
[2] Yuanyuan Wang, Fengzhou Dai, Qian Liu, et al. 2-D Joint High-Resolution ISAR Imaging With Random Missing Observations via Cyclic Displacement Decomposition-Based Efficient SBL[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1-19. Art no. 5111119.
[3] Yuanyuan Wang, Fengzhou Dai, Qian Liu, et al. Fast SBL for 2-D Joint Super-Resolution ISAR Imaging With Multidwell Observation Based on LC Decomposition of Fourth-Order Toeplitz Tensor[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1-17. Art no. 5109517.
[4] Yuanyuan Wang, Fengzhou Dai, Qian Liu, et al. Fast Iterative Wiener Filter-Based ISAR Imaging and Cross-Range Scaling With Periodically Gapped CPI[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1-18. Art no. 5103618.
[5] Yuanyuan Wang, Fengzhou Dai, Qian Liu, et al. Sparse Aperture Autofocusing and Imaging Based on Fast Sparse Bayesian Learning From Gapped Data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-16. Art no. 5101716.
[6] Fengzhou Dai, Yuanyuan Wang, and Ling Hong. Gohberg-Semencul Factorization-Based Fast Implementation of Sparse Bayesian Learning With a Fourier Dictionary[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-15. Art no. 5111015. (导师一作，本人二作)
发表EI检索论文：
[1] Yuanyuan Wang, Fengzhou Dai, and Shuojing Jin. Fast Implementation of Signal Reconstruction based on Sparse Bayesian Learning with Fourier Dictionary[C]. 2021 CIE International Conference on Radar (Radar), Haikou, Hainan, China, 2021, 2647-2651.
[2] Yuanyuan Wang, Fengzhou Dai, and Haosheng Fu. High-Resolution Imaging from Gapped Data Based on Fast Sparse Bayesian Learning[C]. 2022 5th International Conference on Information Communication and Signal Processing (ICICSP), Shenzhen, China, 2022, 46-50.
联系方式（邮箱/QQ）：20250005@nwu.edu.cn（邮箱）
