职称：副教授、博导

办公室：四牌楼健雄院311

办公电话：

Email：qisong.wu@seu.edu.cn

学习经历：

2001年9月-2005年7月西安电子科技大学电子工程学院本科
2005年9月-2006年7月西安电子科技大学电子工程学院硕士
2006年9月-2010年6月西安电子科技大学电子工程学院博士

工作经历:

2010年12月-2013年5月美国杜克大学电子与计算机工程博士后
2013年5月-2015年5月美国维拉诺瓦大学高级通信研究中心博士后研究员
2015年7月-至今 东南大学信息科学与工程学院副教授

教授课程：

本科大三课程（秋季）：雷达前沿技术：预警和成像（研讨）
本科大三课程（秋季）：数字信号处理（专业基础）

研究方向：

声呐信号处理领域：舰船目标特征提取和识别技术，阵列信号处理，宽带波束形成等
机器学习和模式识别领域：贝叶斯压缩感知理论，非参数贝叶斯分析，贝叶斯分层模型设计等
雷达信号处理领域：毫米波雷达信号处理，合成孔径雷达成像（SAR），穿墙雷达成像，无源雷达成像、(SAR-GMTI)运动目标检测等

获奖情况：

1 高等学校优秀科研成果奖：教育部科技进步一等奖，2018
2 全国高校大数据应用创新大赛全国总决赛二等奖（指导教师），2018
3 江苏省青年声学科技工作者科技奖，2020
4 国防科工局创新团队（核心成员），2020

论文著作：

在IEEE Transaction on Geoscience and Remote Sensing (T-GRS), IEEE Transaction on Biomedical Engineering (T-BE),IEEE Transaction on Aerospace and Electronic Systems （IEEE TAES）, IEEE Journal of Selected Topics in Signal Processing （J-STSP）, IEEE Signal Processing Letters (SPL), IEEE Geoscience and Remote Sensing Letters (GRSL)等期刊及国际会议发表SCI/EI收录学术论文70余篇、引用次数近800余次，H-index为16。长期担任IEEE Transactions on Signal Processing (IEEE TSP), IEEE T-GRS,IEEE J-STSP, IEEE SPL, IEEE GRSL, SP等期刊审稿。
部分期刊论文
[1] Qisong Wu, J Liu, MG Amin. Group adaptive matching pursuit with intra-group correlation learning for sparse signal recovery. Signal Processing, 172, 107560, 2020.
[2] Qisong Wu, T Gao, Z Lai, D Li. Hybrid SVM-CNN Classification Technique for Human–Vehicle Targets in an Automotive LFMCW Radar. Sensors20 (12), 3504, 2020.
[3] S Yao, Qisong Wu, S Fang. An Improved Fine-Resolution Method for Frequency Estimation of Real-Valued Single-Tone Using Three DFT Samples. IEEE Access 7, 117063-117074, 2019.
[4] Qingyu Liu, Qisong Wu. A novel reconstruction approach for high-resolution demodulation spectrum with group-sparsity characteristics. SCIENTIA SINICA Informationis, 59(5), 2019, 630-645.
[5] Qisong Wu, Shiliang Fang, Structured Bayesian compressive sensing with spatial location dependence via variational Bayesian inference, Digital Signal Processing, 71, 2017, pp. 95-107.
[6]Qisong Wu,Y. Zhang, M. G. Amin and Braham Himed. Space–Time Adaptive Processing and Motion Parameter Estimation in Multistatic Passive Radar Using Sparse Bayesian Learning, IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No.2, 2016, pp. 944-957.
[7]Qisong Wu,Y. Zhang, M. G. Amin and Braham Himed. High-Resolution Passive SAR Imaging Exploiting Structured Bayesian Compressive Sensing. IEEE Journal of Selected Topics in Signal Processing, Vol.9, No.8, 2015, pp.1484-1497.
[8]Qisong Wu,Y. Zhang, M. G. Amin and Braham Himed. Multi-Task Bayesian Compressive Sensing Exploiting Intra-Task Dependency. IEEE Signal Processing Letter, Vol 22, No. 4, 2015.
[9]Qisong Wu, Y. Zhang, M. G. Aminand F. Ahmad.Compressive Sensing Based High-Resolution Polarimetric Through-the-Wall Radar Imaging Exploiting Target Characteristics, IEEE Antennas and Wireless Propagation Letters, 14, 2015, pp.1043-1047.
[10] Qisong Wu, Y. Zhang and M. G. Amin.Radar-based fall detection based on Doppler time–frequency signatures for assisted living. IET Radar, Sonar & Navigation , Vol. 9, No.2, 2015.
[11] S Qin, Y. Zhang, Qisong Wu, M. G Amin.Structure-aware Bayesian compressive sensing for near-field source localization based on sensor-angle distributions International Journal of Antennas and Propagation 2015, pp.1-15.
[12] B. Zhao, F. Zhou, X, Shi, Qisong. Wuand Z. Bao. Multiple Targets Deception Jamming against ISAR Using Electromagnetic Properties. IEEE Sensor Journal,Vol. 15, No. 4, 2015, pp. 2031-2038.
[13] D. Carlson, J. Vogelstein, Qisong Wu, C. Stoetzner, D. Kipke, D. Weber, D. B. Dunson, L. Carin. Multichannel Electrophysiological Spike Sorting via Joint Dictionary Learning & Mixture Modeling. IEEE Transaction on Biomedical Engineering.Vol. 61, No. 1, 2014, pp. 41-54.
[14] S. Chen, Qisong Wu, P. Zhou, M. Xing. A New Look at Loffeld's Bistatic Formula in Tandem Configuration.IEEE Geoscience and Remote Sensing Letters.Vol. 9, No. 4,2012,pp. 710-714.
[15] Y Liu, QisongWu, G. Sun, M. Xing and B. Liu.Parameter Estimation of Moving Targets in theSARSystem with a Low PRF Sampling Rate, Science China Information, 41(12),2011, pp. 1517-1528.
[16] Qisong Wu, M Xing, H Shi, X Hu and Z. Bao. Exact Analytical Two-Dimensional Spectrum for Bistatic Synthetic Aperture Radar in Tandem Configuration. IET Radar, Sonar & Navigation,Vol. 5, No. 3, 2011. pp. 349-360.
[17] Qisong Wu,Yi Liang, M. Xing, C. Qiu, Z. Bao and Tat-Soon YEO. Focusing of Tandem Bistatic Configuration Data with Range Migration Algorithm. IEEE Geoscience and Remote Sensing Letters.Vol. 8, No. 1, 2011.
[18]Qisong Wu, M. Xing, C. Qiu, Z. Bao and Tat-Soon YEO. Motion Parameter Estimation in the SAR System with Low PRF Sampling. IEEE Geoscience and Remote Sensing Letters, Vol. 7, No. 3, 2010, pp. 450-454.
[19] X. Bai, G. Sun, Qisong Wu, M. Xing and Z.Bao. Spinning Target Imaging in Narrowband Radar. Science in China, Series F. 54(4), 2011, pp. 873-883.
[20] B. Liu, T. Wang,Qisong Wu and Z. Bao.Improved MSR-based Omage-K Algorithm for Azimuth-invariant Bistatic SAR Data Focusing.IEEE Transactions on Geoscience and Remote Sensing. Vol. 47, No. 8, 2009, pp. 2899-2912.
部分会议论文
[1] Z Mei, Qisong Wu, Z Hu, J Tao. A Fast Non-Contact Vital Signs Detection Method Based on Regional Hidden Markov Model in A 77ghz Lfmcw Radar System.IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.
[2] R Huang, J Tao, L Yang, Y Xue, Qisong Wu. Robust Tdoa Indoor Tracking Using Constrained Measurement Filtering and Grid-Based Filtering. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.
[3] T Gao, Z Lai, Z Mei,Qisong Wu. Hybrid SVM-CNN classification technique for moving targets in automotive FMCW radar system.International Conference on Wireless Communications and Signal Processing (WCSP), 2019.
[4] J Liu, Qisong Wu, Y. D Zhang. Multi-task Adaptive Matching Pursuit for Sparse Signal Recovery Exploiting Signal Structures.IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.
[5]Qisong Wu, P Xu, S Fang. Reconstruction of Radiated Noise Demodulation Spectrum by Exploiting the Structure of Group Sparsity. INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 2018.
[6] Qisong Wu, P Xu, T Li, S Fang. Feature Enhancement Technique with Distorted Towed Array in the Underwater Radiated Noise. INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 2017.
[7] Qisong Wu. High-Resolution DOA Estimation in the underwater radiated noise based on Sparse Bayesian Learning, INTER-NOISE and NOISE-CON Congress and Conference Proceedings,2016.
[8]Qisong Wu, Yimin D Zhang, Moeness G Amin, Fauzia Ahmad. Autofocus Bayesian compressive sensing for multipath exploitation in urban sensing. IEEE International Conference on Digital Signal Processing (DSP), 2015.
[9]Qisong Wu, Y. Zhang, M. G. Amin and Braham Himed.Space-Time Adaptive Processing in Multi-static Passive Radar Exploiting Group Sparsity. IEEE International Radar Conference, 2015.
[10] Si Qin, Qisong Wu, Y. Zhang, M. G. Amin.DOA Estimation of Nonparametric Spreading Spatial Spectrum Based on Bayesian Compressive Sensing Exploiting Intra-task Dependency. IEEE ICASSP, 2015.
[11] Y. Zhang, L. Guo, Qisong Wuand M. G. Amin. Multi-Sensor Data-Dependent Kernel Design for Effective Time-Frequency Analysis of Sparsely Sampled Non- Stationary Signals. IEEE International Radar Conference, 2015.
[12] L Guo, Y D Zhang, Qisong Wu, MG Amin. Doa estimation of sparsely sampled nonstationary signals. IEEE International Conference on Digital Signal Processing (DSP), 2015.
[13]Qisong Wu, Y. Zhang, M. G. Amin and Braham Himed. Structured Bayesian Compressive Sensing. IEEE ICASSP, 2014.
[14]Qisong Wu, Y. Zhang, Moeness G. Aminand Braham Himed. Complex Multi-task Bayesian Compressive Sensing, ICASSP, Florence, Italy, 2014.
[15]Qisong Wu, Y. Zhang, M. G. Amin and Braham Himed.Focusing of Tandem Bistatic SAR Data Using Range Doppler Algorithm. IEEE Radar Conference, Cincinnati, Ohio, USA, 2014.
[16]Qisong Wu, Y. Zhang, M. G. Amin and Braham Himed. High-Resolution Passive SAR Imaging Exploiting Complex Group Sparse Bayesian Learning. SPIE Conference, Baltimore, MD, USA,2014.
[17] Qisong Wu, Y. Zhang, M. G. Amin and Fauzia Ahmad. Through-The-Wall Radar Imaging Based on Modified Bayesian Compressive Sensing. IEEE ChinaSIP Conference, Xi’an China, 2014.
[18]Qisong Wu, Y. Zhang, M. G. Amin and Fauzia Ahmad. Robust Multipath Exploitation Radar Imaging in Urban Sensing Based on Bayesian Compressive Sensing, Asilomar Conference, CA, USA, 2014.
[19] Qisong Wu, Y. Zhang, M. G. Amin, Andrew Golato, Sridhar Santhanam, Fauzia Ahmad. Structure Health Monitoring Exploiting MIMO Ultrasonic Sensing and Group Sparse Bayesian Learning. Asilomar Conference, CA, USA, 2014.
[20] Qisong Wu, Y. Zhang and M. G. Amin. Continuous Structure Based Bayesian Compressive Sensing for Sparse Reconstruction of Time-Frequency Distributions, Digital Signal Processing Conference, HongKong, China, 2014.
[21] Si Qin, Y. Zhang, Qisong Wu and M. G. Amin. Large-scale Sparse Reconstruction Based on Segmented Compresssive Sensing. Digital Signal Processing Conference, HongKong, China, 2014.
[22]Qisong Wu, David Carlson, David Dunson and Lawrence Carin. Joint Dictionary Learning and Clustering for the Analysis of Ephysiological Recordings, Poster of Reliable Neural-interface technology in Defense Advanced Research Projects Agency (DARPA) Conference, New Orleans, 2012.


项目：

项目名称
项目类别
项目时间
工作类别
项目金额

XXXX识别技术研究
国防科工局重点领域基金
2019-2022
应用基础研究
XX万

XXXX平台技术研究
国防科工局创新团队
2020-2024
应用基础研究
XX万

基于机器学习的目标特征建库和识别技术研究
国防重点实验室预研基金
2019-2020
应用基础研究
XX万

XXXX特征增强技术研究
国防科工局基础科研基金
2019-2021
应用基础研究
XX万

XXXX判别技术研究
十三五装备预研基金
2017-2020
应用基础研究
XX万

XXXX综合处理研究
十三五装备预研基金
2017-2020
应用基础研究
XX万

XXXX探测技术研究
十三五装备预研基金
2017-2020
应用基础研究
XX万

基于稀疏贝叶斯学习的多径抑制穿墙雷达成像技术
国家自然科学基金
2018-2020
应用基础研究
XX万

基于稀疏贝叶斯学习的水下分布式目标DOA估计
江苏省自然科学基金
2016-2018
应用基础研究
XX万

基于稀疏贝叶斯学习的水声目标信号方位估计技术研究
基础研究基金
2017-2018
应用基础研究
XX万

XXXXX特征提取技术研究
十三五装备预研项目
2016-2020
应用基础研究
XX万

XXXXX识别技术
十二五装备预研加强项目
2016-2017
应用基础研究
XX万

Signal processing for improved multi-static passive radar moving target detection, localization and imaging
Air Force Research Laboratory (AFRL)
2013-2015
应用基础研究
XX万

Multipath exploitation and knowledge based urban radar imaging using compressive sensing
Army Research Office/ Army Research Laboratory
2014-2015
应用基础研究
XX万

Development of nonparametric statistical model for analysis of neural data
Defense Advanced Research Projects Agency (DARPA）
2011-2013
应用基础研究
XX万

专利：

专利号
专利名称
专利类型

0.5
一种基于卷积神经网络的水下目标识别方法
发明专利申请

3.6
一种基于卷积神经网络的毫米波传感器手势识别
发明专利申请

0.6
一种基于组稀疏结构的水声目标辐射噪声调制谱重构方法
发明专利申请

6.X
一种基于组稀疏的自适应匹配追踪信号重建算法
发明专利申请

0.0
基于车载毫米波雷达联合SVM和CNN多目标分类方法
发明专利申请

4.0
一种基于车载毫米波雷达的多目标分类方法
发明专利申请

3.1
一种基于线谱跟踪的生命信号特征提取方法
发明专利申请

9.5
一种畸变拖曳阵线谱特征增强方法及系统
发明专利申请