南京理工大学教师信息

关闭

1. 指导学科
2. 工作经历
3. 教育经历
4. 社会兼职
5. 科研项目
6. 发表论文
7. 专著教材
8. 科研创新
9. 教学活动
10. 指导学生

硕士报考志愿采集更新日期：2024年12月21日

姓名	陈胜垚	性别	男
出生年月	1985年10月	籍贯	安徽庐江县
民族	汉族	政治面貌	中国共产党党员
最后学历	博士研究生毕业	最后学位	工学博士
技术职称	副教授	导师类别	硕士生导师
导师类型	校内	兼职导师	否
行政职务		Email	chenshengyao@njust.edu.cn
工作单位	电光学院	邮政编码	210094
通讯地址
单位电话	025-84315156
个人主页

指导学科

学科专业(主)	0810\|信息与通信工程	招生类别	硕士	所在学院	电子工程与光电技术学院
研究方向	稀疏信号处理与压缩采样、雷达信号处理、阵列信号处理、智能超表面

工作经历

2015.11-至今南京理工大学电光学院副教授，硕士生导师

2013.09-2015.10 南京理工大学电子科学与技术博士后

教育经历

2006.09-2013.07 南京理工大学信息与通信工程博士研究生（导师：刘中教授）

2002.09-2006.07 南京理工大学通信工程本科

社会、学会及学术兼职

IEEE信号处理学会和航空电子系统学会Member, 长期担任IEEE Trans. on Geoscience and Remote Sensing、IEEE Trans. on Aerospece and Electronic Systems、Signal Processing、Digital Signal Processing、电子学报、雷达学报等期刊审稿人。

科研项目

主持和参与国家级科研项目7项：

1、国家自然科学基金面上项目，基于模型的深度雷达信号处理，主要研究人员，在研。

2、国家自然科学基金青年基金项目，多带射频信号的正交压缩采样研究，主持，已结题。

3、中国博士后科学基金项目，基于正交压缩采样的雷达信号处理方法与发射波形设计，主持，已结题。

4、国家自然科学基金面上项目，宽带雷达目标估计：正交压缩采样与波形设计，主要研究人员，已结题。

5、国家自然科学基金面上项目，基于雷达波形和压缩感知核联合优化的sub-Nyquist认知雷达，主要研究人员，已结题。

6、国家自然科学基金面上项目，正交压缩采样理论与实践，主要研究人员，已结题。

7、国家自然科学基金面上项目，基于混沌动力学系统的压缩采样，主要研究人员，已结题。

发表论文

在雷达信号处理、阵列信号处理、压缩感知、非线性动力学系统等方面，发表期刊和会议论文90余篇，其中SCI收录50余篇。主要论文如下：

2025年：

[1] S. Chen, M. He, L. Ran, H. Li, F. Xi, S. Tian and Z. Liu, “Transmit beampattern synthesis for active RIS-enabled MIMO radar via waveform and beamforming optimization,” IEEE Transactions on Aerospace and Electronic Systems, early access, 2025.

[2] S. Chen, Q. Feng, L. Ran, Z. Ding, F. Xi, H. Li, S. Tian and Z. Liu, “Interference suppression for active RIS-empowered array radar using joint beamforming design,” IEEE Transactions on Vehicular Technology, early access, 2025.

[3] H. Li, X. He, S. Chen*, Q. Feng, S. Tian and F. Xi, “Codesign of transmit waveform and reflective beamforming for active reconfigurable intelligent surface-aided MIMO ISAC system,” Signal Processing, vol. 230, p. 109795, 2025.

[4] H. Li, Z. Ding, S. Chen*, Q. Feng, L. Ran and Z. Liu, “Shaped pattern synthesis of hybrid analog-digital arrays via manifold optimization-enabled block coordinate descent,” Signal Processing, vol. 228, p. 109752, 2025.

[5] Y. Wang, F. Xi*, S. Chen and Z. Liu, “Bit-limited sub-Nyquist pulse-Doppler radar,” IEEE Transactions on Aerospace and Electronic Systems, early access, 2025.

2024年：

[1] S. Chen*, Q. Feng, L. Ran, F. Xi and Z. Liu, “Reconfigurable intelligent surface-enabled array radar for interference mitigation,” IEEE Transactions on Aerospace and Electronic Systems, vol. 60, no. 5, pp. 7437-7452, 2024.

[2] D. Song^#, S. Chen^#, Q. Feng, F. Xi* and Z. Liu, “Subspace-based STAP for airborne FDA radar for homogeneous clutter under range ambiguity,” IEEE Transactions on Aerospace and Electronic Systems, vol. 60, no. 3, pp. 2909-2921, 2024.

[3] H. Li, L. Ran, S. Chen*, Z. Cheng and F. Xi, “Antenna selection and receive beamforming for multi-functional sparse linear array via consensus ADMM,” IEEE Transactions on Vehicular Technology, vol. 73, no. 7, pp. 10435-10450, 2024.

[4] L. Ran, Q. Feng, S. Chen*, F. Xi and Z. Liu, “Phase-only beampattern synthesis for maximizing mainlobe gain via Riemannian Newton method,” Signal Processing, vol. 221, p. 109476, 2024.

[5] C. Chen, H. Yang*, S. Chen, F. Xi and Z. Liu, “A motion compensation scheme for compressed sensing SAR image restoration using measured APC data,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, p. 5208715, 2024.

[6] H. Yang*, P. Lang, X. Lu, S. Chen, F. Xi, Z. Liu and J. Yang, “Robust block subspace filtering for efficient removal of radio interference in synthetic aperture radar images,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 5206812, 2024.

[7] Y. Shen, P. Leng, S. Chen and H. Li*, “Phase-only transmit beampattern synthesis with maximum mainlobe gain via manifold ADMM,” IEEE Antennas and Wireless Propagation Letters, vol. 23, no. 1, pp. 184-188, 2024.

[8] 陈胜垚, 何煦, 冯起, 席峰, 李洪涛, 刘中, “智能超表面辅助的雷达通信一体化系统恒模发射波形与无源波束形成联合设计,” 中国科学-信息科学, vol. 54, no. 12, pp. 2841-2857, 2024.

[9] 陈胜垚, 胡晨康, 程智勇, 席峰, 刘中, “基于残差单元与注意力门的非对称编解码海杂波抑制网络”, 电子学报, vol. 52, no. 8, pp. 2628-2640, 2024.

2023年：

[1] D. Song, Q. Feng, S. Chen*, F. Xi* and Z. Liu, “Space-time adaptive processing using deep neural network-based shrinkage algorithm under small training samples,” IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 6, pp. 9697-9703, 2023.

[2] D. Song, S. Chen*, H. Li and F. Xi*, “Space-time adaptive processing via random matrix theory for finite training samples,” IEEE Sensors Journal, vol. 23, no. 7, pp. 7334-7344, 2023.

[3] C. Chen, H. Yang, S. Chen*, F. Xi and Z. Liu, “Non-sparse SAR Imaging from quadrature compressive measurements based on magnitude-phase separation,” IEEE Transactions on Computational Imaging, vol. 9, pp. 692-706, 2023.

[4] L. Ran, S. Chen* and F. Xi, “Beampattern synthesis for active RIS-assisted radar with sidelobe level minimization,” Signal Processing, vol. 206, p. 108925, 2023.

[5] H. Li, L. Ran, C. He, Z. Ding and S. Chen*, “Adaptive beamforming with sidelobe level control for multiband sparse linear array,” Remote Sensing, vol. 15, no. 20, p. 4929, 2023.

[6] 陈胜垚*, 席峰, 张素玲, 刘中, “正交压缩采样系统时域分析,” 电子学报, vol. 51, no. 3, pp. 573-584, 2023.

[7] 程智勇, 陈胜垚*, 吴文, 刘中, “基于原子范数最小化的单比特稀疏双极子阵列的无网格波达角估计算法,” 电波科学学报, vol. 38, no. 2, pp. 1-10, 2023.

[8] L. Ran, H. Li, S. Chen and F. Xi, “Receive beamforming with sidelobe and nulling control for multi-functional sparse array,” International Radar Conference, Sydney, Australia, Nov. 2023.

[9] Q. Feng, S. Chen, F. Xi and Z. Liu, “Joint design of transmit and receive beamforming for active RIS-aided array radar,” International Radar Conference, Sydney, Australia, Nov. 2023.

[10] D. Song, S. Chen, F. Xi and Z. Liu, “Clutter rank estimation for airborne frequency diversity array radar under range ambiguity,” International Radar Conference, Sydney, Australia, Nov. 2023.

2022年：

[1] D. Song, Q. Feng, S. Chen*, F. Xi and Z. Liu, “Random matrix theory-based reduced-dimension space-time adaptive processing under finite training samples,” Remote Sensing, vol. 14, no. 16, p. 3939, 2022.

[2] 陈玉香, 陈胜垚^*, 冉龙瑶, 席峰, “动态超表面天线阵列混合发射波束成形,” 系统工程与电子技术, vol. 44, no. 3, pp. 730-736, 2022.

[3] B. Sun, L. Ran, S. Chen and F. Xi, “Joint transmit waveform and passive beamforming design for RIS-aided MIMO DFRC system,” 14th International Conference on Wireless Communications and Signal Processing (WCSP 2022), Nanjing, China, Nov. 2022, pp. 438-443.

[4] L. Ran, B. Sun, S. Chen and F. Xi, “Transmit beampattern synthesis for RIS-aided radar via sidelobe level minimization,” 14th International Conference on Signal Processing Systems (ICSPS 2022), Zhenjiang, China, Nov. 2022.

2021年：

[1] H. Yang, C. Chen, S. Chen^*, F. Xi and Z. Liu, “Interferometric phase retrieval for multimode InSAR via sparse recovery,” IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 1, pp. 333-347, 2021.

[2] H. Yang*, C. Chen, S. Chen, F. Xi and Z. Liu, “On the mutual interference between spaceborne SARs: Modeling, characterization, and mitigation,” IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 10, pp. 8470-8485, 2021.

[3] H. Yang*, C. Chen, S. Chen, F. Xi and Z. Liu, “A dictionary-based SAR RFI suppression method via robust PCA and chirp scaling algorithm,” IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 7, pp. 1229-1233, 2021.

[4] H. Yang*, C. Chen, S. Chen, F. Xi and Z. Liu, “SAR RFI suppression for extended scene using interferometric data via joint low-rank and sparse optimization,” IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 11, pp. 1976-1980, 2021.

[5] S. Zhu, F. Xi, S. Chen and A. Nehorai, “A low-complexity MIMO dual function radar communication system via one-bit sampling,” 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, Canada, June 2021, pp. 8223-8227.

2020年：

[1] S. Chen, Z. Cheng, H. Yang, F. Xi and Z. Liu “Sub-Nyquist sampling with independent measurements,” Signal Processing, vol. 170, p. 107435, 2020.

[2] H. Yang, C. Chen, S. Chen^*, F. Xi and Z. Liu, “Non-common band SAR interferometry via compressive sensing,” IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no.6, pp. 4436-4453, 2020.

[3] Z. Cheng, S. Chen^*, Q, Shen, J. He, Z. Liu, “Direction finding of electromagnetic sources on a sparse cross-dipole array using one-bit measurements,” IEEE Access, vol. 8, pp. 83131-83143, 2020.

[4] F. Xi*, Y. Xiang, S. Chen and A. Nehorai, “Gridless parameter estimation for one-bit MIMO radar with time-varying thresholds,” IEEE Transactions on Signal Processing, vol. 68, pp. 1048-1063, 2020.

[5] F. Xi*, Y. Xiang, Z. Zhang, S. Chen and A. Nehorai, “Joint angle and Doppler frequency estimation for MIMO radar with one-bit sampling: A maximum likelihood-based method,” IEEE Transactions on Aerospace and Electronic Systems, vol. 56, no. 6, pp. 4734-4748, 2020.

[6] S. Chen, B. Sima, F. Xi, W. Wu and Z. Liu, “Super-resolution DOA estimation using dynamic metasurface antenna,” 14th European Conference on Antennas and Propagation (EuCAP2020), Copenhagen, Denmark, Mar. 2020.

2019年：

[1] S. Chen, Z. Cheng, C. Liu and F. Xi, “A blind stopping condition for orthogonal matching pursuit with applications to compressive sensing radar,” Signal Processing, vol. 165, pp. 331-342, 2019.

[2] H. Yang, C. Chen, S. Chen^*, and F. Xi, “Sub-Nyquist SAR via quadrature compressive sampling with independent measurements,” Remote Sensing, vol. 11, no. 4, 472, 2019.

[3] H. Yang, C. Chen, S. Chen^*, F. Xi, and Z. Liu, “Radar interferometry using two images with different resolutions,” 2019 IEEE Radar Conference (RadarConf19), Boston, Massachusetts, USA, Apr. 2019.

[4] Y. Zhang, Z. Liu, H. Wu, S. Chen and B. Bao, “Two-memristor-based chaotic system and its extreme multistability reconstitution via dimensionality reduction analysis,” Chaos, Solitons and Fractals, vol.127, pp. 354-363, 2019.

[5] Y. Zhang, Z. Liu, H. Wu, S. Chen and B. Bao, “Extreme multistability in memristive hyper-jerk system and stability mechanism analysis using dimensionality reduction model,” The European Physical Journal Special Topics, vol. 228, no. 10, pp. 1995-2009, 2019.

[6] 张素玲, 陈胜垚, 席峰, 刘中, “多带正交压缩采样雷达回波信号的快速重构,” 电子学报, vol. 47, no. 10, pp. 2098-2107, 2019.

2018年：

[1] S. Chen, F. Xi, and Z. Liu, “A general and yet efficient method for sub-Nyquist radar processing,” Signal Processing, vol. 142, pp. 206-211, 2018.

[2] S. Chen and F. Xi, “Cramer-Rao bounds for the joint delay-Doppler estimation of compressive sampling pulse-Doppler radar,” Journal of Systems Engineering and Electronics, vol. 29, no. 1, pp. 58-66, 2018.

[3]C. Liu, S. Chen, F. Xi, and Z. Liu, “Block sparse representation and suppression of narrow-band interference signals for quadrature compressive sampling radar,” Signal Processing, vol. 150, pp. 135-144, 2018.

[4] H. Yang, S. Chen, F. Xi, and Z. Liu, “Quadrature compressive sampling SAR imaging,” 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), Valencia, Spain, Jul. 2018, pp. 5847-5850.

[5] F. Xi and S. Chen, “Super-resolution pulse-Doppler radar sensing via one-bit sampling,” 2018 10th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2018), Sheffield, United Kingdom, Jul. 2018, pp. 232-236.

2017年：

[1] S. Chen, F. Xi, and Z. Liu, “A general sequential delay-Doppler estimation scheme for sub-Nyquist pulse-Doppler radar,” Signal Processing, vol. 135, pp. 210-217, 2017.

[2] S. Chen and F. Xi, “Quadrature compressive sampling for multiband radar echo signals,” IEEE Access, vol. 5, pp. 19742-19760, 2017.

[3] F. Xi, S. Chen, Y. D. Zhang and Z. Liu, “Gridless quadrature compressive sampling with interpolated array technique,” Signal Processing, vol. 133, pp. 1-12, 2017.

[4] F. Xi, S. Chen, and Z. Liu, “Super-resolution delay-Doppler estimation for sub-Nyquist radar via atomic norm minimization,” 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), New Orleans, LA, USA, Mar. 2017, pp. 4326-4330.

[5] 刘超，陈胜垚，席峰，刘中, “抗转发式干扰的正交压缩采样脉冲波形分集雷达,” 中国科学-信息科学, vol. 47, no. 1, pp. 99-113, 2017.

[6] 张素玲, 陈胜垚, 席峰, 刘中, “多带正交压缩采样雷达回波信号的快速重构,” 系统工程与电子技术, vol. 39, no. 9, pp. 1971-1978, 2017.

2016年：

[1] S. Zhang, F. Xi, S. Chen, Y. D. Zhang, and Z. Liu, “Segment-sliding reconstruction of pulsed radar echoes with sub-Nyquist sampling,” SCIENCE CHINA Information Sciences, vol. 59, no. 12, pp. 122309.1-18, 2016.

[2] S. Zhang, F. Xi, S. Chen, Y. D. Zhang, and Z. Liu, “A segment-sliding reconstruction scheme for pulsed radar echoes with sub-Nyquist sampling,” 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, Mar. 2016, pp.4603-4607.

[3] 张素玲, 席峰, 陈胜垚, 刘中, “基于正交压缩采样系统的脉冲雷达回波信号实时重构方法,” 电子与信息学报, vol. 38, no. 5, pp. 1064-1071, 2016.

2015年：

[1] C. Liu, F. Xi, S. Chen, Y. D. Zhang, and Z. Liu, “Pulse-Doppler signal processing with quadrature compressive sampling,” IEEE Transactions on Aerospace and Electronic Systems, vol. 51, no. 2, pp. 1216-1230, 2015.

[2] C. Liu, F. Xi, S. Chen, and Z. Liu, “Anti-jamming target detection of pulsed-type radars in QuadCS domain,” 2015 IEEE International Conference on Digital Signal Processing (DSP), Singapore, Jul. 2015, pp. 75-79.

[3] S. Chen, F. Xi, Z. Liu, and B. Bao, “Quadrature compressive sampling of multiband radar signals at sub-Landau rate,” 2015 IEEE International Conference on Digital Signal Processing (DSP), Singapore, Jul. 2015, pp. 234-238.

[4] 陈胜垚, 席峰, 刘中, “正交压缩采样雷达偏离网格目标时延估计技术,” 电子学报, vol. 43, no. 12, pp. 2352-2359, 2015.

[5] 武花干, 陈胜垚, 包伯成, “忆阻混沌系统的脉冲同步与初值影响研究,” 物理学报, vol. 64, no. 3, pp. 030501.1-8, 2015.

2014年：

[1] S. Chen, F. Xi, and Z. Liu, “Chaotic analogue-to-information conversion with chaotic state modulation,” IET Signal Processing, vol. 8, no. 4, pp. 373-380, 2014.

[2] F. Xi, S. Chen, and Z. Liu, “Quadrature compressive sampling for radar signals,” IEEE Transactions on Signal Processing, vol. 62, no. 11, pp. 2787-2802, 2014.

[3] F. Xi, S. Chen, and Z. Liu, “Quadrature compressive sampling for radar signals: Output noise and robust reconstruction,” 2nd IEEE China Summit & International Conference on Signal and Information Processing (IEEE ChinaSIP), Xi'an, China, Jul. 2014, pp. 790-794.

[4] C. Liu, F. Xi, S. Chen, and Z. Liu, “A pulse-Doppler processing scheme for quadrature compressive sampling radar,” 19th International Conference on Digital Signal Processing (DSP), Hong Kong, Hong kong, Aug. 2014, pp. 676-681.

[5] 陈胜垚, 席峰, 刘中, “多通道混沌调制模拟-信息转换,” 电子与信息学报, vol. 36, no. 1, pp. 152-157, 2014.

2013年以前：

[1] S. Chen, F. Xi, and Z. Liu, “Supreme local Lyapunov exponents and chaotic impulsive synchronization,” International Journal of Bifurcation and Chaos, vol. 23, no. 10, pp. 1350169.1-10, 2013.

[2] S. Chen, F. Xi, and Z. Liu, “Comment on ‘Modified impulsive synchronization of hyperchaotic systems’,” Communications in Nonlinear Science & Numerical Simulation, vol. 18, no. 1, pp. 219-219, 2013.

[3]F. Xi, S. Chen, and Z. Liu, “Chaotic analog-to-information conversion: principle and reconstructability with parameter identifiability,” International Journal of Bifurcation and Chaos, vol. 23, no. 12, pp. 1350198.1-15, 2013.

[4] Z. Liu, S. Chen, and F. Xi, “A compressed sensing framework of frequency-sparse signals through chaotic systems,” International Journal of Bifurcation and Chaos, vol. 22, no. 6, pp. 1250151.1-9, 2012.

[5] 席峰, 陈胜垚, 刘中, “混沌模拟信息转换——基于多射法的稀疏信号重构,” 电子与信息学报, vol. 35, no. 3, pp. 608-613, 2013.

[6] 陈胜垚, 席峰, 刘中, “基于混沌压缩感知的稀疏时变信号在线估计,” 电子与信息学报, vol. 34, no. 4, pp. 838-843, 2012.

出版专著和教材

[1] 刘中, 陈胜垚, 正交压缩采样雷达, 科学出版社, 2022.

科研创新

申请国家发明专利20余项，授权10项，指导本科生申请国家发明专利2项（均已授权）。

教学活动

主讲大二本科生的《电路》和《电工学》课程。

指导学生情况

指导硕士研究生12名，协助指导博士研究生3名，欢迎成绩优秀、学习刻苦，具有较好数学和编程基础，报考信息与通信工程专业的学生加入！