武其松

发布者:沈如达发布时间:2018-04-23浏览次数:12079

职称:副教授、博导

办公室:四牌楼健雄院311

办公电话:025-83794074

Emailqisong.wu@seu.edu.cn

学习经历:

20019-20057月西安电子科技大学电子工程学院本科

20059-20067月西安电子科技大学电子工程学院硕士

20069-20106月西安电子科技大学电子工程学院博士

工作经历:

201012-20135月美国杜克大学电子与计算机工程博士后

20135-20155月美国维拉诺瓦大学高级通信研究中心博士后研究员

20157-至今 十大澳门网站赌博副教授

教授课程:

本科大三课程(秋季):雷达前沿技术:预警和成像

本科大三课程(秋季):数字信号处理

研究生课程(春季):统计信号处理

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

论文著作:

IEEE Transaction on Geoscience and   Remote Sensing (T-GRS), IEEE Transaction on Biomedical Engineering (T-BE),   IEEE Transaction on Aerospace and Electronic SystemsIEEE TAES, IEEE Journal of Selected Topics in   Signal ProcessingJ-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1200余次,H-index16。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, Z Lai, MG Amin. Through-the-wall radar imaging based   on Bayesian compressive sensing exploiting multipath and target structure. IEEE Transactions on Computational Imaging,   vol. 7, 2021, 422-435.

[2] Qisong Wu, H Zhang, Z Lai, Y Xu, S Yao, J Tao. An enhanced   data-driven array shape estimation method using passive underwater acoustic   data. Remote Sensing, vol. 13,   no.9, 1773, 2021.

[3] J. Liu, Qisong Wu*, M.G. Amin. Multi-Task   Bayesian compressive sensing exploiting signal structures. Signal Processing, 178,107804, 2021

[4] Qisong Wu, J. Liu, M.G. Amin. Group adaptive matching pursuit   with intra-group correlation learning for sparse signal recovery. Signal Processing, 172,107560, 2020.

[5] Qisong Wu, S. 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. Amin  and   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. Zhangand 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.

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] 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]   Qisong Wu, Y. Zhang, M. G. Amin and Braham Himed. Structured Bayesian   Compressive Sensing. IEEE ICASSP, 2014.

[11] Qisong Wu, Y. Zhang, Moeness G. Amin  and Braham Himed. Complex Multi-task   Bayesian Compressive Sensing, ICASSP,   Florence, Italy, 2014.

[12] 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.

[13] 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.

[14] 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.

[15] 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.

[16] 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.

[17] 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.

科研项目:

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

重点领域基金

2019-2022

应用基础研究

XX

XXXX平台技术研究

创新团队

2020-2024

应用基础研究

XX

XXXX测试技术研究

重大科技专项

2019-2021

应用基础研究

XX

基于XXXX识别技术研究

预研基金

2019-2020

应用基础研究

XX

XXXX特征增强技术研究

基础科研基金

2019-2021

应用基础研究

XX

XXXX判别技术研究

预研基金

2017-2020

应用基础研究

XX

XXXX综合处理研究

预研基金

2017-2020

应用基础研究

XX

XXXX技术研究

预研基金

2017-2020

应用基础研究

XX

基于XXXX雷达成像技术

国家自然科学基金

2018-2020

应用基础研究

XX

基于XXXX目标DOA估计

江苏省自然科学基金

2016-2018

应用基础研究

XX

基于XXXX估计技术研究

基础研究基金

2017-2018

应用基础研究

XX

XXX提取技术研究

预研项目

2016-2020

应用基础研究

XX

XXXX识别技术

预研加强项目

2016-2017

应用基础研究

XX

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

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

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

专利:

专利号

专利名称

专利类型

201810669600.5

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

201810199933.6

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

201810364540.6

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

201811308366.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

201910601880.0

基于车载毫米波雷达联合SVMCNN多目标分类方法

发明专利申请

201910489514.0

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

201910875693.1

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

201911219659.5

一种畸变拖曳阵线谱特征增强方法及系统

发明专利申请


Baidu
sogou
XML 地图 | Sitemap 地图