戴奉周，教授，博士生导师。雷达信号处理全国重点实验室团队成员，2010年毕业于beoplay体育提现信号与信息专业，获得工学博士学位。研究方向主要包括：雷达自适应信号处理、智能超表面设计与应用、统计信号处理与数值优化、嵌入式信号处理等。在IEEE Transactions on GRS, IEEE Transactions on MTT, IEEE Transactions on AES， 中国科学，电子学报等国内外期刊和国际会议上已发表科研论文70余篇，专利授权20余项。获中国电子学会技术发明一等奖一项、电子科技集团科技进步特等奖一项 、某部级科技进步特等奖一项、某部级技术发明二等奖一项、军队科技进步三等奖一项、中电集团奖教金一等奖和二等奖各一项。

近两年发表的主要学术论文：

2024

[1] 王媛媛, 戴奉周, 刘茜, "Fast Iterative Wiener Filter-Based ISAR Imaging and Cross-Range Scaling With Periodically Gapped CPI,"  IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-18, 2024, Art no. 5103618.

[2] 刘茜, 王媛媛，戴奉周, "Sparse Aperture ISAR Imaging and Cross-Range Scaling of Maneuvering Targets Based on Sparse CICPF Method," IEEE Sensors Journal, vol. 24, no. 11, pp. 18066-18081, 1 June1, 2024, 

[3] 董行, 戴奉周, 张娟, "HRRPs Reconstruction of Multiple High-Speed Targets With Large Time-Bandwidth Product LFM Waveform Based on Efficient SBL," IEEE Transactions on Aerospace and Electronic Systems, vol. 60, no. 4, pp. 5322-5339, Aug. 2024.

[4] 傅昊升, 戴奉周，洪灵, "Metasurface Aperture Design for Far-Field Computational Microwave Imaging Beyond Rayleigh Diffraction Limitations," IEEE Transactions on Microwave Theory and Techniques, vol. 72, no. 1, pp. 223-241, Jan. 2024.

[5] 傅昊升, 王媛媛, 戴奉周，洪灵, "Blind Focusing for Computational Microwave Imaging With Metasurface Aperture Based on Sparse Bayesian Learning," IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-14, 2024, Art no. 2004814.

[6] 王媛媛，戴奉周，刘茜，"Fast SBL for 2D Joint Super-resolution ISAR Imaging with Multi-dwell Observation Based on LC Decomposition of Fourth-order Toeplitz Tensor",  IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-18, 2024, Art no. 5109517.

[7] 王媛媛，戴奉周，刘茜，"2-D Joint High-resolution ISAR Imaging with Random Missing Observations via Cyclic Displacement Decomposition-based Efficient SBL" ，IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-18, 2024, Art no.5111119.

[8] 王媛媛，戴奉周，丁帅，“Radar Angular Resolution Enhancement Based on Dynamic Reflective Metasurface Generated Mirror Array”, IEEE Transactions on Microwave Theory and Techniques, vol. 72, pp. 1-15.

2023

[1] 王媛媛, 戴奉周, 刘茜, 洪灵，"Sparse Aperture Autofocusing and Imaging Based on Fast Sparse Bayesian Learning From Gapped Data,"  IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-16, 2023, Art no. 5101716.

[2] 傅昊升, 戴奉周 ，洪灵, "Two-Dimensional Off-Grid DOA Estimation With Metasurface Aperture Based on MMV Sparse Bayesian Learning," IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-18, 2023, Art no. 8005818.

[3] 傅昊升, 戴奉周 ，洪灵, "Off-Grid Error Calibration for DOA Estimation Based on Sparse Bayesian Learning,"  IEEE Transactions on Vehicular Technology, vol. 72, no. 12, pp. 16293-16307, Dec. 2023.

[4] 戴奉周, 刘江, 田隆, 董行，洪灵, "An End-to-End Approach for Rigid-Body Target Micro-Doppler Analysis Based on the Asymmetrical Autoencoding Network,"  IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-19, 2023, Art no. 5102519.

[5] 洪灵，戴奉周, "Knowledge-Aided Wideband Radar Target Detection in the Heterogeneous Clutter,"  IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 4, pp. 4540-4558, Aug. 2023.

[6] 洪灵, 戴奉周，张博, "Bayesian Detectors for Wideband Radar Target With Range Walking in Compound Gaussian Clutter,"  IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 3, pp. 3038-3054, June 2023.

2022

[1] 王媛媛, 戴奉周，洪灵, "Gohberg-Semencul Factorization-Based Fast Implementation of Sparse Bayesian Learning with a Fourier Dictionary,"  IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2022, Art no. 5111015.

[2] 戴奉周, 傅昊升, 洪灵, 李龙 ,刘宏伟, "Off-Grid Error and Amplitude–Phase Drift Calibration for Computational Microwave Imaging With Metasurface Aperture Based on Sparse Bayesian Learning," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14, 2022, Art no. 5115514.

[3] 戴奉周, 张硕, 李龙, 刘宏伟, "Enhancement of Metasurface Aperture Microwave Imaging via Information-Theoretic Waveform Optimization," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, 2022, Art no. 5109512.