倪中非讲师

联系方式

电话：17652849863

邮箱：zhongfei_ni@sxu.edu.cn

个人简介：

倪中非，博士，讲师，硕士生导师。2012年毕业于中北大学信息对抗技术专业，获工学学士学位；2015年毕业于西安交通大学电子科学与技术专业，获工学硕士学位；2015-2017年就职于华为西安研究所，任天线与射频前端系统工程师，从事5G毫米波移动通信系统研发工作；2022年毕业于西安交通大学电子科学与技术专业，获工学博士学位，同年进入山西大学物理电子工程学院工作。主要研究方向包括：微波/毫米波感知与识别、智能信号与信息处理、机器学习与深度学习。目前已在国内外重要学术期刊发表学术论文多篇，同时担任IEEE Transactions on Instrumentation and Measurement、IEEE Sensors Journal、IET Radar Sonar and Navigation等学术期刊审稿人。

授权发明专利：

[1] 黄斌科, 强启文, 倪中非. 一种电磁超表面加载的窄波束WLAN AP天线, 发明专利, CN107946756A.

发表的论文（带*为通信作者）：

[1]Zhongfei Ni, and Binke Huang*, "Robust human gait identification based on limited radar measurements using set-based discriminative subspaces classification,” IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-14, 2022. (SCI二区)

[2] Zhongfei Ni, and Binke Huang*, "Gait-based person identification and intruder detection using mm-wave sensing in multi-person scenario,” IEEE Sensors Journal，vol. 22, no. 10, pp. 9713-9723, 2022. (SCI二区)

[3] Zhongfei Ni, and Binke Huang*, "Open-set human identification based on gait radar micro-Doppler signatures," IEEE Sensors Journal, vol. 21, no. 6, pp. 8226-8233, 2021. (SCI二区)

[4] Zhongfei Ni, Binke Huang*, and Meng Cao, "Angular positions estimation of spatially extended targets for MIMO radar using complex spatiotemporal sparse Bayesian learning,"IEEE Access, vol. 7, pp. 94473-94480, 2019. (SCI三区)

[5] Zhongfei Ni, and Binke Huang*, “Human identification based on natural gait micro-Doppler signatures using deep transfer learning,” IET Radar Sonar and Navigation, vol. 14, no. 10, pp. 1640–1646, 2020. (SCI四区)

[6] Zhongfei Ni, and Binke Huang*, "Human multicomponent micro-Doppler signals separation based on a novel local time-frequency sparse reconstruction method," Progress In Electromagnetics Research C, vol. 113, 137-146, 2021. (EI)

[7] 倪中非, 黄斌科*, 师振盛. 用于非规则波导传输特性分析的高效坐标变换法. 西安交通大学学报, 2014, 48(08):18-22. (EI)

[8] Yunliang Yang, Binke Huang* and Zhongfei Ni, "Open-set Person Identification with Triple-Joint Loss Based on Radar Gait Micro-Doppler Signatures," 2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP), Xi'an, China, 2022, pp. 1787-1791.（EI，国际会议）