张书瑞
  • 出生年月:1990年6月
  • 籍贯:内蒙古
  • 民 族: 汉族
  • 政治面貌: 中国共产党党员
  • 最后学历: 博士研究生
  • 最后学位: 工学博士
  • 技术职称: 副教授
  • 导师类别: 硕士生导师
  • 邮箱:shuruizhang@njust.edu.cn
访问次数 25266 次
更新日期 2024年8月12日
指导学科
  • 主学科
  • 二级学科
  • 研究方向
  • 跨学科
  • 二级学科
  • 研究方向
  • 专业学位
  • 研究方向
工作经历

2019.7至今  南京理工大学 电子工程与光电技术学院 讲师、副教授

教育经历

(1)2013.9至2019.6,南京理工大学,信息与通信工程,博士,导师:盛卫星;

(2)2017.2至2018.9,McMaster University, Electrical and Computer Engineering Department,国家公派联合培养博士,导师:T.Kirubarajan;

(3)2009.9至2013.6,南京理工大学,电子信息工程,学士;

社会、学会及学术兼职

IEEE Senior Member

中国电子学会会员

担任IEEE Transactions on Signal Processing、 IEEE Transactions on Geoscience and Remote Sensing、 IEEE Sensors Journal、IEEE Signal Processing Letters、IEEE Antennas and Wireless Propagation Letters、Digital Signal Processing等期刊审稿人。

科研项目

1. 国家自然科学基金项目:基于空时和空频的低复杂度自适应宽带波束形成算法研究,No.62001227,2021.1-2023.12,项目负责人,24万

2. 国家自然科学基金项目:任意运动平台的无标定组网雷达空时配准理论研究 ,No.62371236,2024.1-2027.12,项目主要参与人员,63.5万

发表论文

2024

[1] Guowei Li, Qiang Wang, Shurui Zhang*, Weixing Sheng and Thia Kirubarajan. Interacting Multiple-Mode Estimation Using Centroid Fixed Structure for High Precision, IEEE Transactions on Aerospace and Electronic Systems, 2024, 1(60) : 802-818.

[2] Xun Wu, Cong Xue, Shurui Zhang*, Hairui Zhu, Yubing Han, Weixing Sheng. The Complex Convolutional Neural Network for Adaptive Spatio-temporal Broadband Beamforming, IEEE Transactions on Vehicular Technology,  2024, 73(7) : 10778-10782.

[3] Guowei Li, Shurui Zhang*, Yubing Han, Weixing Sheng, Thia Kirubarajan. Reweighting Interacting Multiple-model Algorithm to Overcome Model Competition for Target Tracking in the Hybrid System, IEEE Sensors Journal, 2024, 24(8):12689-12704.

[4] Cong Xue, Hairui Zhu, Shurui Zhang*, Yubing Han, Weixing Sheng, Broadband Beamforming Weight Generation Network Based on Convolutional Neural Network, IEEE Geoscience Remote Sensing Letters, 2024, 21: 4501105.

[5] Lei Xiao, Yubing Han and Shurui Zhang, Spatial sensitivity synthesis based on alternate projection for the machine‐learning‐based coding digital receiving array, IET Radar, Sonar & Navigation, 2024, 1-7.

[6] Renli Zhang, Yuanzhi Duan, Jindong Zhang, Minhui Gu, Shurui Zhang and Weixing Sheng, An Adaptive Multi-View SAR Automatic Target Recognition Network Based on Image Attention, IEEE Journal of Selected Topics in Applied Earth Observations Remote Sensing, 2024, 17:13634-13645.

[7] Renli Zhang, Liyuan Yin, Shurui Zhang and Weixing Sheng, Adaptive Monopulse Beamforming with Jamming Suppression Dimension Selection for Planar Array, Signal Processing, 2025, 226, 109636.

[8] Xiaofeng Ma, Siqin Jiang, Shurui Zhang, Renli Zhang and Weixing Sheng, Joint Wideband Beamforming Algorithm for Main Lobe Jamming Suppression in Distributed Array Radar, Remote Sensing, 2024, 16(13):2402.

 

2023

[1] Xun Wu, Jie Luo, Guowei Li, Shurui Zhang*, Weixing Sheng. Fast Wideband Beamforming Using Convolutional Neural Network[J]. Remote Sensing, 2023, 15(3): 712.

[2] Jie Luo, Lie Xiao, Yuchen Feng, Shurui Zhang*, Yubing Han. Ultra Wideband Space-frequency Beamforming using Time Delay Lines[C]//2023 IEEE MTT-S International Wireless Symposium (IWS). IEEE, 2023: 1-3.

[3] Wei Tong Jing, Qiang Wang, Hairui Zhu, Shurui Zhang*, Weixing Sheng. A Low-Complexity Algorithm for Time Error Estimation in Distributed Radars[C]//2023 IEEE MTT-S International Wireless Symposium (IWS). IEEE, 2023: 1-3.

[4] Guowei Li, Qiang Wang, Shurui Zhang*, Xiaofeng Ma, Weixing Sheng. A novel multiple-model estimation algorithm based on Shannon Entropy[C]//2023 IEEE MTT-S International Wireless Symposium (IWS). IEEE, 2023: 1-3.

[5] Siqin Jiang, Jie Luo, Cong Xue, Yumeng Wang, Shurui Zhang*, Weixing Sheng. Space-time Broadband Beamforming Based on Constraint Matrix Reconstruction and Blocking Matrix Preprocessing[C]//2023 IEEE 6th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE). IEEE, 2023: 304-308.

 

2022

[1] Shurui Zhang*, Qiong Gu, Hui Sun, Weixing Sheng, Thia Kirubarajan. Adaptive broadband frequency invariant beamforming using nulling-broadening and frequency constraints[J]. Signal Processing, 2022: 108461.

[2] Shurui Zhang*, Qiong Gu, Xiaofeng Ma, Weixing Sheng, Thia Kirubarajan. A data alternating extraction general structure and its algorithms for adaptive space–time wideband beamforming[J]. Digital Signal Processing, 2022: 103478.

[3] Shurui Zhang*, Qiong Gu,Xun Wu,Jie Luo, Weixing Sheng. Non-uniform decomposition method used for obtaining the frequency-constrained matrix of broadband Laguerre beamforming[J].IEEE Communication Letters, 2022, 11(7):1359-1363.

[4] Xun Wu, Shurui Zhang*, Xiaofeng Ma, Shanhong Guo, Weixing Sheng. The Adaptive Wideband Beamforming using Convolutional Neural Network[C]//2022 International Conference on Microwave and Millimeter Wave Technology (ICMMT). IEEE, 2022: 1-3.

 

2021

[1] Xun Wu, Shurui Zhang*, Renli Zhang, Jie Cui, Shanhong Guo. Adaptive Space-time Broadband Beamforming using Machine Learning approach[C]//2021 6th International Conference on Communication, Image and Signal Processing (CCISP). IEEE, 2021: 273-277.

[2] Qiong Gu, Jie Luo, Shurui Zhang*, Xiaofeng Ma, Weixing Sheng. The Frequency Constraints of Space-time Wideband Beamforming using Non-uniform Decomposition Method[C]//2021 6th International Conference on Communication, Image and Signal Processing (CCISP). IEEE, 2021: 268-272.

 

2018

[1] Shurui Zhang, Jeyarajan Thiyagalingam, Weixing Sheng*, Thia Kirubarajan, Xiaofeng Ma. Low-complexity adaptive broadband beamforming based on the non-uniform decomposition method. Signal Processing. 2018, 151:66-75.

[2] Shurui Zhang, Weixing Sheng*, Yubing Han, Xiaofeng Ma, Thia Kirubarajan. A low-complexity Laguerre wideband beamformer. Digital Signal Processing. 2018, 83:35-44.

 

2017

[1] Shurui Zhang, Weixing Sheng*, Yubing Han, Xiaofeng Ma. Generalised reduced-rank structure for broadband space-time GSC and its fast algorithm. Signal Processing. 2017, 133:117-121.

[2] 张书瑞, 马晓峰*, 盛卫星, 韩玉兵. 频率不变宽带波束形成权重系数的稀疏优化. 航空学报, 2017, 38(7):320794.

 

2016

[1] Shurui Zhang, Weixing Sheng*, Xiaofeng Ma, Yubing Han, Renli Zhang. Low-complexity space-time processing for wideband beamforming. 2016 IEEE International Symposium on Phased Array Systems and Technology, 2016:1-5.

[2] 张书瑞, 马晓峰*, 盛卫星, 韩玉兵, 张仁李. 零陷可控的低旁瓣频率不变宽带波束形成.系统工程与电子技术, 2016, 38(6):1243-1249.

 

教学活动

1、春季学期:《通信系统》(《卫星通信》部分)

2、秋季学期:《FPGA系统设计与应用

3、秋季学期:《通信原理》

4、秋季学期:《数字波束形成技术和智能天线》(江阴校区,第四、五、六、七章)

指导学生情况

2019级 辜*,就职于上海大疆

2020级 吴*,就职于苏州矽力杰

2021级 李**,西安交通大学攻读博士学位

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指导一组学生参加第十八届中国研究生电子设计竞赛,获华东赛区团队一等奖,全国总决赛团队一等奖;

我的团队

南京理工大学阵列天线与阵列信号处理实验室长期从事阵列天线、自适应数字波束形成和波束赋形技术、大规模有源相控阵/数字阵列雷达/通信系统、目标特性建模和识别方面的教学与科研工作,近五年在IEEE Transactions on Aerospace and Electronic Systems、IEEE Transactions on Signal Processing、IEEE Transactions on Antenna and Propagation、Signal Processing 和电子信息学报等国内外核心期刊录用和发表相关学术论文100余篇,申请或授权发明专利50余项。

阵列天线与阵列信号处理实验室在“十二五”期间, 承担1011重大专项1项、国家自然科学基金4项、总装预研项目3项、总装预研基金1项、重大横向合作项目1项、与科研院所横向合作项目数十项。近五年科研经费超过2000万。

目前实验室共有团队成员100余名,其中专职教师8名,博士生15名,实验室负责人为盛卫星教授。实验室充分利用学校和学院的建设平台,结合自身的优势条件,广泛开展与国内外知名高校、科研院所的科研合作与交流,实验室研究生赴香港中文大学、新加坡国立大学、加州大学圣地亚哥分校 、McMaster大学、莱德大学、维拉纽瓦大学等开展访学多次,为研究生的培养提供了高端平台和畅通的渠道。

实验室结合高校研究生培养模式,为研究生提供深度参与科研项目的机会,致力于阵列天线与阵列信号处理前沿技术研究及高层次人才的培养,欢迎本专业或者相近专业优秀学生的加入!