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西安电子科技大学电子工程学院导师教师师资介绍简介-白雪茹

本站小编 Free考研考试/2021-06-27


基本信息

姓名: 白雪茹
职位: 教授,硕/博士生导师
博士学科:信号与信息处理
硕士学科:信号与信息处理
工作单位:电子工程学院


联系方式
通信地址:西安市太白南路2号,
西安电子科技大学
电子邮箱:xrbai@xidian.edu.cn
办公电话:
办公地点:北校区新科技楼1711





个人简介
白雪茹,河北内邱人。1984年10月出生于陕西省西安市。2002年9月被提前录取为西安电子科技大学本硕连读生,2006年7月获电子信息工程专业工学学士学位。同年9月,被保送为西安电子科技大学硕博连读研究生。2011年8月获西安电子科技大学信息与通信工程专业博士学位,同年留校工作,2013年6月晋升为副教授,2014年7月遴选为硕士生导师。2015年晋升为教授,并遴选为博士生导师。2016年至2017年,在美国哥伦比亚大学Data Science Institute从事机器学习方面的研究工作。
主要研究方向为机器学习及其在高分辨雷达成像、图像特征提取与自动目标识别等领域的应用。近年来,在相关领域的国内外权威期刊上发表论文三十余篇。其中以第一/通讯作者在IEEE Trans. on Geoscience and Remote Sensing、IEEE Trans. on Antennas and Propagation、IEEE Trans. on Aerospace and Electronic Systems等期刊发表论文二十余篇。先后主持国家自然科学基金、教育部高等学校全国优秀博士学位论文作者专项资金等多项科研项目,相关成果申请国家发明专利二十余项,已授权十余项。博士论文“空天目标逆合成孔径雷达成像新方法研究”被评为2013年全国百篇优秀博士学位论文。2015年获国家自然科学基金优秀青年科学基金资助。2019年获教育部技术发明一等奖。2020年入选国家“****”青年人才项目,并获国家技术发明二等奖。
担任IEEE Trans. on Geoscience and Remote Sensing、IEEE Trans. on Aerospace and Electronic Systems、Journal of Applied Remote Sensing, IET Radar, Sonar & Navigation、IEEE Geoscience and Remote Sensing Letters、Signal Processing (Europe)、《中国科学》、《电子学报》、《电子与信息学报》等10余种国内外期刊的审稿人。担任《雷达学报》编委,《中国科学》助理编辑。2009年至今为美国电气与电子工程师协会(IEEE)会员,2015年至今为中国电子学会高级会员。

招生情况
指导或协助他人指导多名硕士研究生,其中多人获国家奖学金和校奖学金。
博士招生每年1-2名,硕士招生一般每年3-5名。
有充分的项目锻炼,出国交流和深造机会。
对校内外招收“优研”考生,欢迎积极主动、勤奋刻苦、数学、英语和编程等基础较好的同学联系。




基本信息

姓名: 白雪茹
职位: 教授,硕/博士生导师
博士学科:信号与信息处理
硕士学科:信号与信息处理
工作单位:电子工程学院


联系方式
通信地址:西安市太白南路2号,
西安电子科技大学
电子邮箱:xrbai@xidian.edu.cn
办公电话:
办公地点:北校区新科技楼1711





个人简介
白雪茹,河北内邱人。1984年10月出生于陕西省西安市。2002年9月被提前录取为西安电子科技大学本硕连读生,2006年7月获电子信息工程专业工学学士学位。同年9月,被保送为西安电子科技大学硕博连读研究生。2011年8月获西安电子科技大学信息与通信工程专业博士学位,同年留校工作,2013年6月晋升为副教授,2014年7月遴选为硕士生导师。2015年晋升为教授,并遴选为博士生导师。2016年至2017年,在美国哥伦比亚大学Data Science Institute从事机器学习方面的研究工作。
主要研究方向为机器学习及其在高分辨雷达成像、图像特征提取与自动目标识别等领域的应用。近年来,在相关领域的国内外权威期刊上发表论文三十余篇。其中以第一/通讯作者在IEEE Trans. on Geoscience and Remote Sensing、IEEE Trans. on Antennas and Propagation、IEEE Trans. on Aerospace and Electronic Systems等期刊发表论文二十余篇。先后主持国家自然科学基金、教育部高等学校全国优秀博士学位论文作者专项资金等多项科研项目,相关成果申请国家发明专利二十余项,已授权十余项。博士论文“空天目标逆合成孔径雷达成像新方法研究”被评为2013年全国百篇优秀博士学位论文。2015年获国家自然科学基金优秀青年科学基金资助。2019年获教育部技术发明一等奖。2020年入选国家“****”青年人才项目,并获国家技术发明二等奖。
担任IEEE Trans. on Geoscience and Remote Sensing、IEEE Trans. on Aerospace and Electronic Systems、Journal of Applied Remote Sensing, IET Radar, Sonar & Navigation、IEEE Geoscience and Remote Sensing Letters、Signal Processing (Europe)、《中国科学》、《电子学报》、《电子与信息学报》等10余种国内外期刊的审稿人。担任《雷达学报》编委,《中国科学》助理编辑。2009年至今为美国电气与电子工程师协会(IEEE)会员,2015年至今为中国电子学会高级会员。

招生情况
指导或协助他人指导多名硕士研究生,其中多人获国家奖学金和校奖学金。
博士招生每年1-2名,硕士招生一般每年3-5名。
有充分的项目锻炼,出国交流和深造机会。
对校内外招收“优研”考生,欢迎积极主动、勤奋刻苦、数学、英语和编程等基础较好的同学联系。




科学研究
研究方向:
基于先进机器学习理论的雷达目标高分辨成像、特征提取与识别
承担科研项目:
国家自然科学基金重点基金(在研),合作单位负责人
国家自然科学基金优秀青年科学基金(结题),负责人
国家自然科学基金面上基金(在研), 负责人
国家自然科学基金联合基金(结题), 负责人
国家自然科学基金青年基金(结题), 负责人
成果转化类项目(在研),负责人
“十三五”预研(结题),负责人
教育部联合基金(青年人才,在研),负责人
高等学校全国优秀博士学位论文作者专项资金(结题), 负责人
陕西省青年科技新星项目(结题), 负责人
中央高校基本科研业务费(结题), 负责人
代表专利:
空中微动旋转目标的二维ISAR成像方法,国家发明专利,第一发明人。
基于复数后向投影的自旋目标三维成像方法,国家发明专利,第一发明人。
基于参数化的匀加速直线运动刚体群目标成像方法,国家发明专利,第一发明人。
基于HRRP序列的空间目标高分辨成像方法,国家发明专利,第一发明人。
基于时频字典的微动目标缺损回波高分辨成像方法,国家发明专利,第一发明人。
基于增广拉普拉斯算子的微动群目标高分辨成像方法,国家发明专利,第一发明人。
基于变分贝叶斯学习算法的ISAR稀疏频带成像方法,国家发明专利,第一发明人。
基于高斯过程回归的距离-瞬时多普勒图像序列降噪方法,国家发明专利,第一发明人。
基于改进卷积神经网络的SAR车辆目标识别方法,国家发明专利,第一发明人。
基于稀疏贝叶斯学习的干扰环境ISAR高分辨成像方法,国家发明专利,第一发明人。




论文成果
第一/通讯作者代表作
High resolution radar imaging in low SNR environments based on expectation propagation. IEEE Trans. onGeoscience and Remote Sensing. Preprint.
JTF analysis of micromotion targets based on single-window variational inference. IEEE Trans. onGeoscience and Remote Sensing. Preprint.
Spatial-temporal ensemble convolution for sequence SAR target classification. IEEE Trans. on Geoscience andRemote Sensing. Preprint.
Robust Pol-ISAR target recognition based on ST-MC-DCNN.IEEE Trans. on Geoscience and Remote Sensing. Dec. 2019, vol. 57, no. 12, pp. 9912–9927.(SCI, IF: 5.630)
Radar-based human gait recognition using dual-channel deep convolutional neural network.IEEE Trans. on Geoscience and Remote Sensing. Dec. 2019, vol. 57, no. 12, pp. 9767–9778. (SCI, IF: 5.630)
Sequence SAR image classification based on bidirectional convolution-recurrent network.IEEE Trans. on Geoscience and Remote Sensing. Nov. 2019, vol. 57, no. 11, pp. 9223–9235.(SCI: 065, IF: 5.630)
Radar image series denoising of space targets based on Gaussian process regression. IEEE Trans. on Geoscience and Remote Sensing. Jul. 2019,vol. 57, no. 7, pp. 4659–4669.(SCI: 040, IF: 5.630)
High-resolution radar imaging in complex environments based on Bayesian learning with mixture models. IEEE Trans. on Geoscience and Remote Sensing. Feb, 2019, vol. 57, no. 2, pp. 972–984.(SCI:027, IF: 5.630)
SAR ATR of ground vehicles based on LM-BN-CNN. IEEE Trans. on Geoscience and Remote Sensing. Jul. 2018,vol. 56, no. 12, pp. 7282–7293.(SCI:034, IF: 5.630)
High-resolution sparse subband imaging based on Bayesian learning with hierarchical priors. IEEE Trans. on Geoscience and Remote Sensing. Aug. 2018, vol. 56, no. 8. pp. 4568-4580.(SCI:022, IF: 5.630)
High-resolution radar imaging of space targets based on HRRP series.IEEETrans. on Geoscience and Remote Sensing. May. 2014, vol. 52, no. 5. pp. 2369-2381. (SCI: 008, EI: 20**5, IF: 5.630)
Sparse subband imaging of space targets in high-speed motion. IEEETrans. on Geoscience and Remote Sensing. Jul. 2013, vol. 51, no. 7. pp. 4144-4154. (SCI: 005, EI: 20**1, IF: 5.630)
A novel method for imaging of group targets moving in a formation. IEEETrans. on Geoscience and Remote Sensing. Jan. 2012, vol. 50, no. 1,pp. 221-231. (SCI: 018, EI: 427, IF: 5.630)
High-resolution three-dimensional imaging of spinning space debris. IEEETrans. on Geoscience and Remote Sensing. Jul. 2009, vol. 47, no. 4,pp. 2352-2362. (SCI: 023, EI: 520, IF: 5.630)
Imaging of micromotion targets with rotating parts based on empirical-modedecomposition. IEEETrans. on Geoscience and Remote Sensing. Nov.2008, vol. 46, no. 11, pp. 3514-3523. (SCI: 014, EI:021, IF: 5.630)
High-resolution 3D imaging of precession cone-shaped targets. IEEE Trans. on Antennas and Propagation. Aug. 2014, vol. 62, no. 8, pp. 4209-4219. (SCI: 033, EI: 20**1, IF: 4.435)
Obtaining JTF-signature of space-debris from incomplete and phase-corrupted data. IEEE Trans. on Aerospace and Electronic Systems,Feb, 2017, vol. 53, no. 3, pp. 1169-1180. (SCI: 008, IF: 2.797)
Radar imaging of micromotion targets from corrupted data.IEEE Trans. on Aerospace and Electronic Systems, Dec. 2016.,vol. 52, no. 6, pp. 2789-2802. (SCI: 013, IF: 2.797)
Imaging of rotation-symmetric space targets based on electromagnetic modeling. IEEE Trans. on Aerospace and Electronic Systems, Jul. 2014, vol. 50, no. 3. pp. 1680-1689. (SCI: 008, EI: 20**0, IF: 2.797)
High-resolution 3-D imaging of group rotating targets. IEEE Trans. on Aerospace and Electronic Systems, Apr. 2014, vol. 50, no. 2.(SCI: 021, EI: 20**1, IF: 2.797)
High-resolution radar imaging of air-targets from sparse azimuth data.IEEE Trans. on Aerospace and Electronic Systems, Apr. 2012, vol. 48,no. 2, pp. 1643-1655. (SCI: 046, EI: 066, IF: 2.797).
High resolution ISAR imaging of targets with rotating parts. IEEETrans. on Aerospace and Electronic Systems. Dec. 2011, vol. 47, no.4, pp. 2530-2543. (SCI: 016, EI: 201**, IF: 2.797).
SAR ATR of ground vehicles based on ESENet, Remote Sensing, 2019, vol. 11, no. 1316. pp. 1–16.(SCI, IF: 4.118).
High-resolution three-dimensional imaging of space targets in micromotion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Jul. 2015, vol. 8, no. 7, pp. 3428-3440. (SCI: 017, EI: 20**5, IF: 3.392).
Scaling the 3-D image of spinning space debris via bistatic inversesynthetic aperture radar. IEEE Geoscience and Remote Sensing Letters. Jul.2010, vol. 7, no. 3, pp. 430-434. (SCI: 003, EI:151, IF: 3.534)
Narrow-band radar imaging of spinning targets. SCIENCE CHINA InformationSciences. Apr. 2011. vol. 54, no. 4, pp. 873-883. (SCI: 015, EI: IP**, IF: 2.731)
窄带雷达自旋目标成像. 中国科学F辑, 2010年11月, vol. 40, no. 11, pp. 1508 -1518.
空中微动旋转目标的二维ISAR成像算法. 电子学报,2009年9月,vol. 37, 9, pp.1937-1943. (EI: 017, 入选2013年度中国精品科技期刊顶尖学术论文, F5000)
合作文章代表作
A method for 3-D ISAR imaging of space debris. IEEETrans. on Aerospace and Electronic Systems. Apr.2019, vol. 55, no. 2. pp. 864–876.(SCI:026, IF: 2.797)
A modified EM algorithm for ISAR scatterer trajectory matrix completion, IEEE Trans. on Geoscience and Remote Sensing. Jul. 2018, vol. 56, no. 7. pp. 3953-3962.(SCI: 025, IF: 5.630)
Joint cross-range scaling and 3-D geometry reconstruction of ISAR targets based on factorization method, IEEE Trans. on Image Processing. 2016, vol. 25, no. 4. pp.1740-1750. (SCI: 007, IF:6.790).
Narrow-band interference suppression for SAR based on independent component analysis. IEEE Trans. on Geoscience and Remote Sensing. Oct. 2013, vol. 51, no. 10. pp.4952-4960. (SCI: 006, EI: 20**2, IF: 5.630)
A large scene deceptive jamming method for space-borne SAR. IEEE Trans. on Geoscience and Remote Sensing. Aug. 2013, vol. 51, no. 8. pp. 4486-4495. (SCI: 013, EI: 20**2, IF: 5.630)
Analysis of wide angle radar imaging. IET Proc. Radar, Sonar & Navigation.Apr. 2011, vol. 5, no. 4, pp. 449-457. (SCI: 008, EI: **, IF: 2.015)
Narrow-band interference suppression for SAR based on complex empirical mode decomposition. IEEE Geoscience and Remote Sensing Letters. Jul. 2009,vol. 6, no. 2, pp. 423-427. (SCI: 013, EI: 028, IF:3.534)
会议论文
A novel ISAR autofocusing method based on Bayesian inference, IET International Radar Conference, 17-19 Oct. 2018, Nanjing, China. (Best paper award)
Few-Shot SAR ATR Based on Conv-BiLSTM Prototypical Networks. 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, 26-29 Nov. 2019, Xiamen, China.
JTF Reconstruction of Micromotion Targets based on Bayesian Inference. 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, 26-29 Nov. 2019, Xiamen, China.
Robust ISAR Target Recognition Based on IC-STNs. 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, 26-29 Nov. 2019, Xiamen, China.
2D-Temporal Convolution for Target Recognition of SAR Sequence Image. 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, 26-29 Nov. 2019, Xiamen, China.
High-resolution radar imaging with unknown noise, International Conference on Radar 2018, 27-30 Aug. 2018, Brisbane, Australia.
Deep CNN for micromotion recognition of space targets, 2016 CIE International Conference on Radar, 10-12 Oct. 2016, Guangzhou, China, pp. 808-812.
JTF-based radar imaging of micromotion targets from corrupted data, 2016 CIE International Conference on Radar, 10-12 Oct. 2016, Guangzhou, China, pp. 2409-2412.
High-resolution 3-D imaging of micromotion targets from RID imaging series. IGARSS2016, Jul. 10-15, 2016, Beijing, China.
Recent advances in ISAR imaging of micromotion targets. IET International Radar Conference, Oct. 14-16, 2015, Hangzhou, China. (Invited Talk)
High-resolution radar imaging of aerospace targets with micromotion. IGARSS2014, Jul. 13-18, 2014, Quebec, Canada. (EI: 099)
Analysis of the azimuth resolution of bistatic SAR. 2013 International Conference on Radar, Sep. 9-12, 2013, Adelaide, Australia. (EI: 20**1)
Micro-Doppler analysis and imaging of air-planes with rotating parts.APSAR2009, Oct. 26-30, 2009, Xi'an, China. (EI: 240)





荣誉获奖
2020年,国家技术发明二等奖
2020年,国家“****”青年人才项目
2019年,教育部技术发明一等奖
2018年,IET International Radar Conference.Best Paper Award
2016年,中国电子学会优秀科技工作者
2015年,国家优秀青年科学基金资助
2015年,陕西省青年科技新星
2015年,校“华山****”菁英人才计划资助
2015年,校第十届青年教师讲课竞赛三等奖
2014年,全国百篇优秀博士学位论文
2013年,陕西省优秀博士学位论文







科研团队
本人指导的研究生:
2014级:李永国
2015级:王力(硕博连读),黄萍
2016级:惠叶(直博),陈鑫康,李雨辰,彭鑫,张枫
2017级:周雪宁(直博),张毓,王樾,王格,赵志强
2018级:薛瑞航(直博),王睿娇,李小勇,祁浩凡,曾磊,刘思琦
讨论会时间:周三上午、周六上午




课程教学
博士研究生(全英文授课):
1. Radar Systems and Synthetic Aperture Radar
2. Synthetic Aperture Radar
硕士研究生:
模式分类与应用
参考教材:
C. Bishop, Pattern Recognition and Machine Learning, Springer
T. Hastie, R. Tibshirani and J. Friedman, The Elements of Statistical Learning, Second Edition, Springer
本科生:
1. 雷达原理
2. 雷达系统(双语授课)
参考教材:Bassem R. Mahafza, Atef Z. Elsherbeni,Matlab Simulations for Radar Systems Design,CRC Press




招生要求
博士招生每年1-2名,硕士招生一般每年3-5名。
对校内外招收“优研”计划考生。
有充分的项目锻炼,出国交流和深造机会。
欢迎积极主动、勤奋刻苦、数学、英语和编程等基础较好的同学通过邮件联系。




Profile

Name Title:
Xueru Bai, Professor
Department:
School of Electronic
Engineering
Xidian University


Contact Information

Address: No.2, Taibai Road,
Xi\'an, China.
Zip Code: 710071
Email: xrbai@xidian.edu.cn
Tel: 86-



Introduction
Educational Experience
Aug. 2006-Aug. 2011:
Master-Doctor Combined Program graduate student in XidianUniversity,
Ph.D.degree in Signal and Information Processing, Xidian University.
Professional Experience
Sep. 2011 - Jun. 2013:
Lecturer, Xidian University
Jul. 2013 - Apr. 2015:
Associate Professor and Master Advisor,
Xidian University
Mar. 2016- Mar. 2017:
Visiting Scholar,
Data Science Institute, ColumbiaUniversity
2015 - present:
Full Professor and Doctoral Advisor,
Xidian University
Professional Activities and Services
Jan. 2009 - present:
Member of IEEE
Jan. 2015 -present:
Senior Member of the Chinese Institute of Electronics (CIE)
Jan. 2008 - present:
Regular journal reviewer for IEEE Trans. on Geoscience and Remote Sensing, IEEE Trans. on
Aerospace and Electronic Systems, Signal Processing (EURASIP), and IEEE Journal of Selected
Topics in Applied Earth Observations and Remote Sensing, etc.
Jan. 2014 - present:
Reviewer of the National Natural Science Foundation of China




Research

Research Interests:
Machine learning, ISAR imaging, feature extraction, and classification
Selective Projects:
1. The National Natural Science Foundation of China
2. The Foundation for the Author of National Excellent Doctoral Dissertation of PR China




Papers
Selective Publications
High resolution radar imaging in low SNR environments based on expectation propagation. IEEE Trans. onGeoscience and Remote Sensing. Preprint.
JTF analysis of micromotion targets based on single-window variational inference. IEEE Trans. onGeoscience and Remote Sensing. Preprint.
Spatial-temporal ensemble convolution for sequence SAR target classification. IEEE Trans. on Geoscience andRemote Sensing. Preprint.
Robust Pol-ISAR target recognition based on ST-MC-DCNN.IEEE Trans. on Geoscience and Remote Sensing. Dec. 2019, vol. 57, no. 12, pp. 9912–9927.(SCI, IF: 5.630)
Radar-based human gait recognition using dual-channel deep convolutional neural network.IEEE Trans. on Geoscience and Remote Sensing. Dec. 2019, vol. 57, no. 12, pp. 9767–9778. (SCI, IF: 5.630)
Sequence SAR image classification based on bidirectional convolution-recurrent network.IEEE Trans. on Geoscience and Remote Sensing. Nov. 2019, vol. 57, no. 11, pp. 9223–9235.(SCI: 065, IF: 5.630)
Radar image series denoising of space targets based on Gaussian process regression. IEEE Trans. on Geoscience and Remote Sensing. Jul. 2019,vol. 57, no. 7, pp. 4659–4669.(SCI: 040, IF: 5.630)
High-resolution radar imaging in complex environments based on Bayesian learning with mixture models. IEEE Trans. on Geoscience and Remote Sensing. Feb, 2019, vol. 57, no. 2, pp. 972–984.(SCI:027, IF: 5.630)
SAR ATR of ground vehicles based on LM-BN-CNN. IEEE Trans. on Geoscience and Remote Sensing. Jul. 2018,vol. 56, no. 12, pp. 7282–7293.(SCI:034, IF: 5.630)
High-resolution sparse subband imaging based on Bayesian learning with hierarchical priors. IEEE Trans. on Geoscience and Remote Sensing. Aug. 2018, vol. 56, no. 8. pp. 4568-4580.(SCI:022, IF: 5.630)
High-resolution radar imaging of space targets based on HRRP series.IEEETrans. on Geoscience and Remote Sensing. May. 2014, vol. 52, no. 5. pp. 2369-2381. (SCI: 008, EI: 20**5, IF: 5.630)
Sparse subband imaging of space targets in high-speed motion. IEEETrans. on Geoscience and Remote Sensing. Jul. 2013, vol. 51, no. 7. pp. 4144-4154. (SCI: 005, EI: 20**1, IF: 5.630)
A novel method for imaging of group targets moving in a formation. IEEETrans. on Geoscience and Remote Sensing. Jan. 2012, vol. 50, no. 1,pp. 221-231. (SCI: 018, EI: 427, IF: 5.630)
High-resolution three-dimensional imaging of spinning space debris. IEEETrans. on Geoscience and Remote Sensing. Jul. 2009, vol. 47, no. 4,pp. 2352-2362. (SCI: 023, EI: 520, IF: 5.630)
Imaging of micromotion targets with rotating parts based on empirical-modedecomposition. IEEETrans. on Geoscience and Remote Sensing. Nov.2008, vol. 46, no. 11, pp. 3514-3523. (SCI: 014, EI:021, IF: 5.630)
High-resolution 3D imaging of precession cone-shaped targets. IEEE Trans. on Antennas and Propagation. Aug. 2014, vol. 62, no. 8, pp. 4209-4219. (SCI: 033, EI: 20**1, IF: 4.435)
Obtaining JTF-signature of space-debris from incomplete and phase-corrupted data. IEEE Trans. on Aerospace and Electronic Systems,Feb, 2017, vol. 53, no. 3, pp. 1169-1180. (SCI: 008, IF: 2.797)
Radar imaging of micromotion targets from corrupted data.IEEE Trans. on Aerospace and Electronic Systems, Dec. 2016.,vol. 52, no. 6, pp. 2789-2802. (SCI: 013, IF: 2.797)
Imaging of rotation-symmetric space targets based on electromagnetic modeling. IEEE Trans. on Aerospace and Electronic Systems, Jul. 2014, vol. 50, no. 3. pp. 1680-1689. (SCI: 008, EI: 20**0, IF: 2.797)
High-resolution 3-D imaging of group rotating targets. IEEE Trans. on Aerospace and Electronic Systems, Apr. 2014, vol. 50, no. 2.(SCI: 021, EI: 20**1, IF: 2.797)
High-resolution radar imaging of air-targets from sparse azimuth data.IEEE Trans. on Aerospace and Electronic Systems, Apr. 2012, vol. 48,no. 2, pp. 1643-1655. (SCI: 046, EI: 066, IF: 2.797).
High resolution ISAR imaging of targets with rotating parts. IEEETrans. on Aerospace and Electronic Systems. Dec. 2011, vol. 47, no.4, pp. 2530-2543. (SCI: 016, EI: 201**, IF: 2.797).
SAR ATR of ground vehicles based on ESENet, Remote Sensing, 2019, vol. 11, no. 1316. pp. 1–16.(SCI, IF: 4.118).
High-resolution three-dimensional imaging of space targets in micromotion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Jul. 2015, vol. 8, no. 7, pp. 3428-3440. (SCI: 017, EI: 20**5, IF: 3.392).
Scaling the 3-D image of spinning space debris via bistatic inversesynthetic aperture radar. IEEE Geoscience and Remote Sensing Letters. Jul.2010, vol. 7, no. 3, pp. 430-434. (SCI: 003, EI:151, IF: 3.534)
Narrow-band radar imaging of spinning targets. SCIENCE CHINA InformationSciences. Apr. 2011. vol. 54, no. 4, pp. 873-883. (SCI: 015, EI: IP**, IF: 2.731)




Honors
1.Jun. 2015, I was awarded the Program for Excellent Young Scientist by the National Natural Science Foundation of China.
2. Mar. 2014, my Ph. D dissertation was selected to be the National Excellent Doctoral Dissertation by the Ministry of Education.
3. Jan. 2015, I received the Young Scientist Award of Shaanxi Province.




Team




Teaching
Ph.D. Student
Radar Systems Analysis and Design Using Matlab
Synthetic Aperture Radar
Master Student
Pattern Recognition
Undergraduate Student
Radar Principles




Admission


相关话题/电子工程学院 电子科技大学