头像

徐魁文

博士 教授 | 博士生导师

学位:博士

职务:

研究方向:电磁反演,波束赋形系统,新体制雷达

职称:教授

毕业院校:浙江大学

办公电话:

地址:教三521

邮箱:kuiwenxu@hdu.edu.cn

邮编:310008

徐魁文,教授,博导。2014年获得浙江大学电子科学与技术专业工学博士学位,20128月至20133月以访问博士研究生身份赴新加坡国立大学NUS微波技术实验室进行了为期半年的学习研究, 合作导师为Xudong Chen教授IEEE Fellow20146月加入华为技术有限公司中央研究院的通信技术实验室,参与5G终端MIMO天线的研究,20158月以副研究员加入raybet下赌注 ,20188月至201811月受香港城市大学CITYU太赫兹与毫米波国家重点实验室的主任陈志豪教授IEEE Fellow的邀请以访问副教授身份进行了为期三个月的学习交流研究,做太赫兹毫米波成像的相关研究;202012月晋升raybet下赌注 教授、博导。迄今,已在国内外重要学术期刊和会议上共发表学术论文 70余篇, 其中在PRLIEEE Transactions国内外TOP期刊发表论文30余篇,其中SCI一区期刊论文6篇,SCI二区期刊论文20余篇, IET旗下出版一个英文章节书书名章节为:“Solving inverse scattering problems in biomedical imaging with contraction integral equation models。据谷歌学术统计,所发表论文已被美国科学院院士 Chew Weng教授、电子科大聂在平教授等国内外知名教授同行引用1000余次,获得授权国家发明专利20余项。先后主持过多项有关电磁成像的科研项目,包括国家自然科学基金面上项目、青年项目、浙江省自然科学基金探索性项目、国家重点实验室开放课题、中国博士后科学面上基金等项目,作为骨干成员参与国家重点研发计划子课题、浙江省重点研发计划择优委托项目(1000万)等重点科研项目。目前担任IET旗下期刊Electronic Letters副主编,多次担任国内外知名学术会议的TPC-member以及分会场主席,并多次受邀做关于电磁成像方法、应用与系统等相关的特邀报告。


2009.9–2014.7,博士研究生电磁场与微波技术信息电子工程学系,浙江大学

2012.8–2013.3,交流博士生,电磁场与微波技术,新加坡国立大学

2005.92009.6大学本科 电子信息工程电子信息学院raybet下赌注

2021.1 至今              教授,博导,raybet下赌注 ,电子信息学院

2019.1 – 2020.12       副教授,raybet下赌注 ,电子信息学院

2015.8 – 2018.12       特聘副研究员,raybet下赌注 ,电子信息学院

2018.8 – 2018.11       访问副教授,香港城市大学太赫兹及毫米波重点实验室

                                  合作导师:IEEE fellow Prof.CHAN,Chi-Hou陈志豪教授

2014.7 – 2015.8         杭州华为技术有限公司通信技术实验室高级工程师

1. IET旗下SCI杂志Electronic letters 副主编;

2. 2017年度全国微波毫米波会议的程序技术委员会委员

3. 2018IEEE集成电路技术与应用大会的程序技术委员会委员

4. 2020IEEEMTT-S 国际微波学术讨论会的程序技术委员会委员

5. 中国电子学会会员,浙江省电子学会会员

6. Frontiers评审编辑(Review Editor

7. 担任IEEE TMTTTAPTGRSTCIAWPLMWCL20多种国内外期刊的审稿人。

8. 担任IEEE-APSPIERsICCEMACES、全国微波年会等国际国内学术会议的分会主席与组织者


一、机器智能的无线感知与成像系统:

主要涉及到电磁感知与成像算法,包括基于机器学习的电磁全波反演成像、雷达成像以及MIMO-SAR成像方法;在此基础上开发新体制雷达成像系统,包括射频收发机模块、前端天线以及链路设计等,应用场景包括但不仅限于:穿墙成像、安检成像、无损检测以及生物医疗成像。


1. 无线感知与成像

二、先进射频器件与天线:

主要面向应用在5G+以及6G的毫米波波束扫描天线以及多功能毫米波天线,实现新体制、低成本相控阵天线。


2. 5G+以及6G通信的前端波控天线系统


三、基于机器智能的反演射频器件与芯片的自动化设计:

传统的射频器件需要依赖人工在三维电磁仿真软件(CSTHFSS以及FEKO等)中的几何参数经验设计优化,本课题组主要面向射频器件的反演设计,主要包括:基于芯片级的滤波器、电磁防护、前端天线优化设计,反向设计不仅需要传统的优化算法(梯度法、启发式算法等),同时还需要借助目前盛行的深度学习算法,实现机器智能的射频器件反演自动化设计。

3. 射频器件的反演自动化设计



纵向科研

1. 基于物理机制式深度神经网络的电磁逆散射成像方法研究,2020.1-2023.12, 国家自然科学基金面上项目,61971174,经费59万,主持,在研;

2. 非均匀背景下电磁波逆散射的强非线性问题及其快速成像方法研究,2017.1-2019.12,国家自然科学基金青年项目,61601161,经费21万,主持,已结题;

3. 基于电磁波逆散射的脑中风检测与超分辨成像方法研究,2019.1-2021.12浙江省自然科学基金一般项目,LY19F010012,经费10万,主持,已结题;

4. 基于电磁波逆散射的超分辨率生物医学成像方法研究,2018.1-2019.12,微波与毫米波国家重点实验室开放基金项目,K201822,经费4万,主持,已结题;

5. 基于深度学习的定量微波成像方法研究,2020.01-2022.12, 中国博士后科学基金项目, 2019M66198经费8万,主持,在研;

6. 基于深度学习的实时超分辨微波成像方法研究,2021.1-2022.12,钱江实验室开放基金项目,2020-Y5-A-021,经费20万,主持,在研;

7. 电磁场的媒质调控,2021.1-2023.12,浙江省杰出自然科学基金项目,LR21F010002,直接经费80万,第一参与人,在研;

8. 超构材料中基元非对称性的禁带关联机制及场量调控研究,2019.1-2022.12, 国家自然科学基金面上项目,61875051,经费64万,第一参与人,在研;

9. 高性能计算环境下EDA 工具移植与集成,2018.1-2022.12,科技部国家重点研发计划子课题,经费40万,主要参与人,在研;

10. 射频集成电路设计全流程EDA 平台,2021.1-2023.12,浙江省科技计划项目-重点研发计划-择优委托项目,2021C01041,经费2000万,主要参与人,在研;

11. 面向开源电路设计的EDA技术研究,2020.1-2023.12,科技部国家重点研发计划子课题,2019YFB2205003,经费90万,主要参与人,在研;


横向科研

1. 车联网大数据软件开发,2016-2017,浙江力石科技股份公司,经费120万,主要参与人,已结题;

2. 智慧园区/景区综合管理软件平台,2018-2020,浙江力石科技股份公司,经费180万,主要参与人,已结题;

3. 8路以太网摄像机及2GSML摄像机输出验证,2018-2019,思尔芯信息科技有限公司,经费20万,主要参与人,已结题;

4. 基于脑电信号的癫痫发作检测算法研究,2018-2019,杭州妞诺科技有限公司,经费10万,主要参与人,已结题;

5. LTCC基板测试分析,2021-至今,中国科学院空天信息创新研究院,经费12万,主持,在研;

6. 脑电信号异常检测技术研究,2021-2024,杭州妞诺科技有限公司,经费12万,第一参与人,在研。



论文

节选代表性论文

  1. 2022

  • 1. L. Peng, H. Ren, Y. Chao, T. Lan, K. Xu, D. Ye, X. Luo, H. Sun, S. Xu, H. Chen, and S. Zhang, "Spin Hall effect of transversely spinning light," Science Advances, vol. 8, no. 34, 2022, doi: DOI: 10.1126/sciadv.abo6033.

  • 2. K. Xu, Q. Wang, L. Lv, Q. Zhang, S. Sun, F. Luo, X. Luo, L. Peng, and G. Wang, "SIW based Ka-band leaky-wave antenna with improved beam steering performance," IEEE Antennas and Wireless Propagation Letters, vol. 21, no. 11, pp. 2224-2228, Nov. 2022.

  • 3. F. Luo, J. Wang, J. Zeng, L. Zhang, B. Zhang, K. Xu*, and X. Luo, " Cascaded complex U-net model to solve inverse scattering problems with phaseless-data in the complex domain," IEEE Transactions on Antennas and Propagation, vol. 70, no. 8, pp. 6160-6170, Aug. 2022.

  • 4. K. Xu, C. Zhang, X. Ye and R. Song, "Fast full-wave electromagnetic inverse scattering based on scalable cascaded convolutional neural networks," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, Jan. 2022.

  • 5. F. Shen, Y. Gao, L. Li, B. Zhang, K. Xu and L. Ran, "Wideband microwave sensor for downhole water-cut monitoring," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, 2022, Art no. 5914512.

  • 6. T. Yin, C. -F. Wang, K. Xu, Y. Zhou, Y. Zhong and X. Chen, "Electric flux density learning method for solving three-dimensional electromagnetic scattering problems," IEEE Transactions on Antennas and Propagation, doi: 10.1109/TAP.2022.3145486.

  • 7. R. Song, Y. Huang, X. Ye, K. Xu, C. Li and X. Chen, "Learning-based inversion method for solving electromagnetic inverse scattering with mixed boundary conditions," IEEE Transactions on Antennas and Propagation, vol. 70, no. 8, pp. 6218-6228, Aug. 2022.

  • R. Song, M. Li, K. Xu, C. Li and X. Chen, "Electromagnetic inverse scattering with an untrained SOM-Net," IEEE Transactions on Microwave Theory and Techniques, vol. 70, no. 11, pp. 4980-4990, Nov. 2022.

  1. 2021

  • 1. P. Zhao, L. Liu, K. Xu*, X. Ye, S. Chen, G. Wang, and C. Chan, "An improved subspace-regularized DBIM-MLGFIM method for three-dimensional inverse scattering problems," IEEE Transactions on Antennas and Propagation, vol. 69, no. 5, pp. 2798-2809, May. 2021.

  • 2. H. Jiang, K. Xu*, Q. Zhang, Y. Yang, D. K. Karmokar, S. Chen, P. Zhao, G. Wang, L. Peng, "Backward-to-forward wide-angle fast beam-scanning leaky-wave antenna with consistent gain," IEEE Transactions on Antennas and Propagation, vol. 69, no. 5, pp. 2987 - 2992, May. 2021.

  • 3. Z. Ma, K. Xu*, R. Song, C. -F. Wang and X. Chen, "Learning-based Fast Electromagnetic Scattering Solver through Generative Adversarial Network," IEEE Transactions on Antennas and Propagation, vol. 69, no. 4, pp. 2194 - 2208, April. 2021.

  • 4. Y. Chu, K. Xu*, F. Shen, and G. Wang, "Multiplicatively regularized iterative updated background inversion method for inverse scattering problems," IEEE Geoscience and Remote Sensing Letters., vol. 18, no. 6, pp. 999-1003, June 2021.

  • 5. R. Song, Y. Huang, K. Xu, X. Ye, C. Li and X. Chen, "Electromagnetic inverse scattering with perceptual generative adversarial networks," IEEE Transactions on Computational Imaging, vol. 7, pp. 689-699, 2021, doi: 10.1109/TCI.2021.3093793.

  • 6. Y. Huang, R. Song, K. Xu, X. Ye, C. Li and X. Chen, "Deep learning-based inverse scattering with structural similarity loss functions," IEEE Sensors Journal, vol. 21, no. 4, pp. 4900-4907, 15 Feb.15, 2021, doi: 10.1109/JSEN.2020.3030321.

  1. 2020

  • 1. K. Xu, L. Wu, X. Ye and X. Chen, "Deep learning-based inversion methods for solving inverse scattering problems with phaseless data," IEEE Transactions on Antennas and Propagation, vol. 68, no. 11, pp. 7457-7470, Nov. 2020.

  • 2. K. Xu, L. Zhang, and Z. Wei, “Fourier bases-expansion contraction integral equation for inversion highly nonlinear inverse scattering problem”, IEEE Transactions on Microwave Theory and Techniques., vol. 68, no. 6, pp. 2206 - 2214, Mar. 2020.

  • 3. L. Zhang, K. Xu*, R. Song, X. Z. Ye, G. Wang and X. Chen, " Learning-based quantitative microwave imaging with a hybrid input scheme," IEEE Sensors Journal, vol. 20, no. 24, pp. 15007-15013, 15 Dec.15, 2020.

  • 4. Lu. Zhang, K. Xu*, Y. Zhong and K. Agarwal, " Solving phaseless highly nonlinear inverse scattering problems with contraction integral equation for inversion," IEEE Transactions on Computational imaging, vol. 6, pp. 1106-1116, July, 2020.

  • 5. M. Tan, J. Zhou, K. Xu*, Z. Peng, and Z. Ma, “Static hand gesture recognition with electromagnetic scattered field via complex attention convolutional neural network,” IEEE Antennas and Wireless Propagation Letters., vol. 19, no. 4, pp. 705 - 709, April. 2020.

  • 6. X. Ye, Y. Bai, R. Song, K. Xu and J. An, "An inhomogeneous background imaging method based on generative adversarial network," IEEE Transactions on Microwave Theory and Techniques, vol. 68, no. 11, pp. 4684-4693, Nov. 2020.

  • 7. H. Gan, W. Zhao, L. He, Y. Yu, K. Xu, F. Wen, L. Dong, and G. Wang, "A CSRR-loaded planar sensor for simultaneously measuring permittivity and permeability," IEEE Microwave and Wireless Components Letters, vol. 30, no. 2, pp. 219-221, Feb. 2020, doi: 10.1109/LMWC.2019.2957657.

  • 8. W. Zhao, H. Gan, L. He, Q. Liu, D. Wang, K. Xu, S. Chen, L. Dong, G. Wang, "Microwave planar sensors for fully characterizing magneto-dielectric materials," IEEE Access, vol. 8, pp. 41985-41999, 2020, doi: 10.1109/ACCESS.2020.2977327.

  • 9. Y. Zhong, M. Salucci, K. Xu, A. Polo, and A. Massa, “A multiresolution contraction integral equation method for solving highly nonlinear inverse scattering problems,” IEEE Transactions on Microwave Theory and Techniques., vol. 68, no. 4, pp. 1234 - 1247, 2020.

  • 10. X. Ye, N. Zhang, K. Xu, K. Agarwal, M. Bai, D. Liu, and X. Chen, "Application of subspace-based distorted-born iteration method in imaging biaxial anisotropic scatterer," IEEE Transactions on Computational Imaging, vol. 6, pp. 1486-1492, 2020, doi: 10.1109/TCI.2020.3032673.

  • 11. Q. Zhang, D. Ma, X. Tang, G. Zhang, Z. Zhan, K. Xu, X. Ye, Y. Sun and R. Murch, "1-D frequency-diverse single-shot guided-wave imaging using surface-wave Goubau line," IEEE Transactions on Antennas and Propagation, vol. 68, no. 4, pp. 3194-3206, 2020.

  • 12. S. Chen, F. Zhou, K. Xu, P. Zhao, Y. Yang, X. Zhu, and G. Wang, "A Portable Microwave Interferometry Sensor for Permittivity Detection Based on CCMRC," IEEE Access, vol. 8, pp. 140323-140332, 2020, doi: 10.1109/ACCESS.2020.3007783.

  • 13. F. Shen, H. Li, K. Xu, T. Zhou, N. M. Idrees, C. Li, and L. Ran, “Induction logging through casing by detecting lateral waves: a numerical analysis,” IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 4, pp. 2937 - 2946, 2020.

  • 14. T. Zhou, H. Li, K. Xu, Q. Lv, and T. Denidni, " Experimental investigation on subwavelength imaging with temporal–spatial random illuminations," IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 1, pp. 2659-2661, 2020.

  1. 2019

  • 1. Y. Chu, K. Xu*, Y. Zhong, X. Ye, T, Zhou, X. Chen, and G. Wang, “Fast microwave through wall imaging method with inhomogeneous background based on Levenberg-Marquardt algorithm”, IEEE Transactions on Microwave Theory and Techniques., vol. 67, no. 3, pp. 1138 - 1147, March, 2019.

  • 2. L. Dong, Z. Qiao, H. Wang, W. Yang, W. Zhao, K. Xu, G. Wang, L. Zhao, and H. Yan, “The gas leak detection based on a wireless monitoring system,” IEEE Transactions on Industrial Informatics., vol. 15, no. 12, pp. 6240 - 6251, 2019.

  • 3. H. Li, C. Ma, F. Shen, K. Xu, D. Ye, J. Huangfu, C. Li, L. Ran, and T. A. Denidni, "Wide-angle beam steering based on an active conformal metasurface lens," IEEE Access, vol. 7, pp. 185264-185272, 2019, doi: 10.1109/ACCESS.2019.2960639.

  • 4. Z. Gu, J. Wang, F. Shen, K. Xu, D. Ye, J. Huangfu, C. Li, and L. Ran, “Blind separation of doppler human gesture signals based on continuous-wave radar sensors,” IEEE Transactions on Instrumentation and Measurement., vol. 68, no. 7, pp. 2659 - 2661, 2019.

  • 5. T. Zhou, F. Shen, K. Xu, Z. Tang, J. Wang, B. Zhang, D. Ye, J. Huangfu, C. Li, and L. Ran, “Microwave imaging customized on demand under random field illumination”, IEEE Transactions on Microwave Theory and Techniques., vol. 67, no. 3, pp. 1148 - 1156, 2019.

  • 6. T. Zhou, F. Shen, Q. Meng, H. Li, K. Xu, D. Ye, J. Huangfu, S. Dong, T. A. Denidni and L. Ran, "Towards real-time through-obstacle imaging based on compressed sensing for sparse objects," IET Microwaves, Antennas & Propagation, vol. 13, no. 13, pp. 2290-2296, 30 10 2019, doi: 10.1049/iet-map.2019.0238.

  1. 2018

  • 1. K. Xu, Y. Zhong, X. Chen and D. Lesselier, “A fast integral equation-based method for solving electromagnetic inverse scattering problems with inhomogeneous background,” IEEE Transactions on Antennas and Propagation., vol. 66, no. 8, pp. 4228-4239, May, 2018.

  • 2. K. Xu, Y. Zhong, and G. Wang, “A hybrid regularization technique for solving highly nonlinear inverse scattering problems,” IEEE Transactions on Microwave Theory and Techniques., vol. 66, no. 1, pp. 11-21, Jan, 2018.

  • 3. K. Xu, Y. Liu, S. Chen, P. Zhao, L. Peng, L. Dong, and G. Wang “Novel microwave sensors based on split ring resonators for measuring permittivity,” IEEE access., vol. 6, pp. 26111 - 16120, May, 2018.

  • 4. K. Xu, Y. Liu, L. Dong, L. Peng, S. Chen, F, Shen, X. Ye, X. Chen and G. Wang, “Printed multi-band compound meta-loop antenna with hybrid-coupled split ring resonators,” IET Microwaves, Antennas & Propagation., vol. 12, no. 8, pp. 1-8, Jun, 2018.

  • 5. X. Qi, L. Chen, K. An, J. Wang, C. Ma, B. Zhang, K. Xu, H. Li, D. Ye, J. Huangfu, C. Li, and L. Ran “Wireless indoor positioning with vertically uniform alternating magnetic fields,” IEEE Transactions on Instrumentation and Measurement., vol. 67, no. 11, pp. 2733 - 2735, Aug, 2018.

  • 6. X. Qi, L. Chen, K. An, J. Wang, B. Zhang, K. Xu, D. Ye, C. Li, and L. Ran “Bioinspired in-grid navigation and positioning based on an artificially established magnetic gradient,” IEEE Transactions on Vehicular Technology., vol. 67, no. 11, pp. 10583 - 10589, Aug, 2018.

  • 7. S. Chen, M. Guo, K. Xu, P. Zhao, L. Dong and G. Wang, "A frequency synthesizer based microwave permittivity sensor using CMRC structure," IEEE Access, vol. 6, pp. 8556-8563, 2018, doi: 10.1109/ACCESS.2018.2808362.

  • 8. H. Wang, L. Dong, W. Wei, W. -S. Zhao, K. Xu and G. Wang, "The WSN monitoring system for large outdoor advertising boards based on ZigBee and MEMS sensor," IEEE Sensors Journal, vol. 18, no. 3, pp. 1314-1323, 1 Feb.1, 2018, doi: 10.1109/JSEN.2017.2770324.

  • 9. S. Chen, M. Guo, K. Xu, P. Zhao, Y. Hu, L. Dong, and G. Wang, "A Dielectric Constant Measurement System for Liquid Based on SIW Resonator," IEEE Access, vol. 6, pp. 41163-41172, 2018, doi: 10.1109/ACCESS.2018.2857514.

  • 10. L. Peng, S. Sang, Z. Wang, H. Jin, A. Wu, K. Xu, and G. Wang, "Wideband radiation from an offset-fed split ring resonator with Multi-Order resonances," IEEE Antennas and Wireless Propagation Letters, vol. 17, no. 12, pp. 2198-2202, Dec. 2018, doi: 10.1109/LAWP.2018.2871040.

  1. 2017

  • 1. F. Liu, K. Xu*, P. Zhao, L. Dong and G. Wang, “A uniplanar dual-band printed compound loop antenna for WLAN/WiMAX applications,” Electronic Letters., vol. 53, no. 16, pp. 1083-1084, Aug, 2017.

  • 2. K. Xu, F. Liu, L. Peng, W. Zhao, L. Ran, and G. Wang “Multimode and wideband printed loop antenna based on degraded split-ring resonators,” IEEE access., vol. 5, pp. 15561 -15570, Jul, 2017.

  • 3. H. Li, F. Shen, D. Ye, K. Xu, S. Qiao, Y. Sun, W. Zhu, C. Li, and L. Ran, " Theory and Implementation of Scattering-Dark-State Particles at Microwave Frequencies," IEEE Transactions on Antennas and Propagation., vol. 65, no. 12, pp. 7119-7128, Dec, 2017.

  1. 2012 - 2016

  • 1. W. -S. Zhao, J. Zheng, F. Liang, K. Xu, X. Chen and G. Wang, "Wideband modeling and characterization of differential through-silicon vias for 3-D ICs," IEEE Transactions on Electron Devices, vol. 63, no. 3, pp. 1168-1175, March 2016, doi: 10.1109/TED.2016.2516345.

  • 2. K. Xu, Y. Zhong, R. Song, X. Chen and L. Ran, “Multiplicative-regularized FFT twofold subspace-based optimization method for inverse scattering problems,” IEEE Transactions on Geoscience and Remote Sensing., vol. 53, no. 2, pp. 841-850, Feb, 2015.

  • 3. K. Xu, D. Ye, Z. Zhu, J. Huangfu, C. Li and L. Ran, “Analytical beam forming for circularly symmetric conformal apertures,” IEEE Transactions on Antennas and Propagation., vol. 63, no. 4, pp. 1458-1464, 2015.

  • 4. J. Zhao, Z. Zhu, W. Cui, K. Xu, B. Zhang, D. Ye, C. Li and L. Ran, “Power Synthesis at 110-GHz Frequency Based on Discrete Sources,” IEEE Transactions on Microwave Theory and Techniques., vol. 63, no. 5, pp. 1633-1644, May, 2015.

  • 5. K. Xu, H. Li, Z. Zhu, J. Huangfu, C. Li and L. Ran, “Versatile beam forming with concentric excitations based on multiple Sinc/Bessel function distribution,” IEEE Transactions on Antennas and Propagation., vol. 61, no. 8, pp. 4082-4090, 2013.

  • 6. K. Xu, Z. Zhu, H. Li, J. Huangfu, C. Li and L. Ran, “A printed single-layer UWB monopole antenna with extended ground plane stubs,” IEEE Antennas and Wireless Propagation Letters., vol. 12, pp. 237-240, 2013.

  • 7. K. Xu, H. Li, L. Chen, J. Huangfu and L. Ran, “Spherical Bessel function based deterministic beam-forming for spherical-surfaced apertures,” Electronic Letters, vol. 49, no. 14, pp. 863-865, 2013.

  • 8.D. Ye, Z. Wang, K. Xu, H. Li, J. Huangfu, Z. Wang and L. Ran, “Ultra-wideband dispersion control of a metamaterial surface for a perfectly-matched-layer-like absorption,” Physical Review Letters., vol. 111, no. 18, pp. 1974-1978, 2013.

  • 9. D. Ye, Z. Wang, Z. Wang, K. Xu, B. Zhang, J. Huangfu, C. Li, and L. Ran, "Towards experimental perfectly-matched layers with ultra-thin metamaterial surfaces," IEEE Transactions on Antennas and Propagation., vol. 60, no. 11, pp. 5164-5172, 2012.



著作

授权专利

1. 徐魁文,冉立新,“带扩展地平面开路节和半椭圆形开槽的超宽带单极子天线”,授权公告日:2014521,中国,授权专利号CN102738580A专利号(ZL201210227131.4)

2.徐魁文,冉立新,基于贝塞尔函数的圆形口径场分布的阵列天线设计方法授权公告日:20141210,中国,授权专利号CN102683898A,专利号ZL201210136076.8

3. 徐魁文,刘飞,赵文生,陈世昌,彭亮,王高峰,“一种带有扩展地全频段覆盖的手机终端MIMO 双天线”,国家发明专利,授权公告日:2019 6 18 日,授权公开号:CN106099348A,专利号(ZL201610551241.4);

4. 徐魁文,楚彦青,赵文生, 陈世昌,赵鹏,王高峰,“一种基于非均匀背景介质的弹性波成像方法”,国家发明专利,授权公告日:2020 01 31 授权公开号CN109239771B,专利号(ZL201810906598.9);

5. 徐魁文,刘洋,赵文生, 陈世昌,赵鹏,王高峰,“基于SRRs提高环形天线阻抗和扩展频带的方法”,国家发明专利,授权公告日: 2020 06 30 授权公开号 CN107317114B,专利号(ZL201710358569.9);

6. 张玮,徐魁文,赵鹏,王高峰,“基于电磁耦合的宽带、高隔离MIMO环天线”,国家发明专利,授权公告日: 2021 01 05 , 授权公告号 CN109149106B,专利号(ZL201810709972.6);

7. 徐魁文,刘洋,赵文生, 陈世昌,赵鹏,王高峰,“一种用于测量介电常数的微型双层磁耦合微波传感器”,国家发明专利,授权公告日:2021 04 20 授权公开号 CN108872710B,专利号(ZL201810419905.0);

8. 徐魁文,刘洋,赵文生, 陈世昌,赵鹏,王高峰,“一种用于测量介电常数的微型三层磁耦合微波传感器”,国家发明专利,授权公告日:2021 04 20 授权公开号 CN108872266B,专利号(ZL201810419931.3);

9. 徐魁文,刘洋,赵文生, 陈世昌,赵鹏,王高峰,“一种用于测量介电常数的差分微波传感器”,国家发明专利,授权公告日:2021 04 20 授权公开号 CN108828321B,专利号(ZL201810420659.0);

10. 徐魁文,楚彦青,叶修竹,陈旭东,“一种基于电磁逆散射的早期乳腺癌检测医学成像方法”,国家发明专利,授权公告日:2021 04 20 授权公开号 CN109859173B,专利号(ZL201910016317.7);

11. 吴亮,徐魁文,马振超,张璐,“基于神经网络解决电磁逆散射问题的两步无相位成像方法”,国家发明专利,授权公告日:2021 10 01 授权公开号 CN111609787B,专利号(ZL202010471726.9);

12. 徐魁文,姜浩,段江波,刘洋,“基于微波传感器的新型高精度介电常数测试系统”, 国家发明专利,授权公告日:2021 11 23 授权公开号 CN110531165B,专利号(ZL201910766954.6);

13. 徐魁文,段江波,刘洋,徐正,陈世昌,赵文生,赵鹏,王高峰“一种基于地板辐射模式的多频段MIMO终端天线”,国家发明专利,授权公告日:20200908授权公开号 CN108847526B,专利号(ZL201810540045.6);

14. 姜浩,徐魁文,王权,“一种基于微带线结构的波束高扫描率天线”,国家发明专利,授权公告日:20220401, 授权公开号CN111509392B,专利号(ZL202010381490.X);

15. 徐魁文,姜浩,王权“一种基于微带线结构的一维平面周期漏波天线”,国家发明专利,授权公告日:20220401授权公开号CN111509393B,专利号(ZL202010381975.9);

16. 吴亮,徐魁文,张璐,马振超“一种基于卷积神经网络的散射场相位恢复方法”,国家发明专利,授权公告日:20220805授权公开号CN111610374B,专利号(ZL202010471615.8);

17. 徐魁文,姜浩,段江波,刘洋“基于SIW-CSRR的用于测量介电常数的微波传感器”,国家发明专利,授权公告日:20220513授权公开号CN110531164B,专利号(ZL201910766950.8);

18. 徐魁文,王权,段江波,彭亮“一种基于超材料单元的高扫码率的漏波天线”,国家发明专利,授权公告日:20220729授权公开号CN112768921B,专利号(ZL202011617947.9);

 


基于STM32的控制系统,软著登字第2983418号,2018SR654323,2018-08-16

基于STM32的数字电压表系统,软著登字第2987112号,2018SR658017,2018-08-17

基于MATLAB的车牌识别软件系统,软著登字第2992050号,2018SR662955,2018-08-20


1. 2017年获得raybet下赌注 骨干教师支持计划

2. 2019年获得浙江省育才工程计划

3. 2019年获得湖州市1112工程人才计划

4. 2022年获得首届“杭电钱江学者”杰出青年

5. 2022年获得2022国际应用电磁计算会议青年科学家


手机扫描二维码

即可访问本教师主页

总访问量:10