兵器科学与技术

强电磁干扰对抗识别、EMC电磁计算、视觉测量诊断

2000年9月—2004年7月 清华大学 电机系 电气工程及其自动化 本科
2005年9月—2010年7月 清华大学 电机系 电气工程 博士

2010年11月—2013年05月 63961部队兵器科学与技术博士后工作站 博士后
2013年08月—2019年07月 太阳成集团tyc122cc 讲师
2019年07月—至今 太阳成集团tyc122cc 副教授

成果简介：

面向信息感知与对抗应用背景，重点研究强电磁干扰对抗识别、EMC电磁计算与视觉测量诊断等方向；主要论文如下：

代表性论著：

1. CAO Ronggang*, SU Ming, et. al. Summarize and Analysis of Rail-gun's Grooving Phenomenon with Large Pulse Current and High-velocity Sliding Electrical Contact，High Voltage Engineering，2016.09.30，42（09）：2822~2829

2. Rong-gang Cao*, Shu Li. Improvement of a low-cost combined fitting method for the armature speed and the rail current measurement , IEEE TRANSACTIONS ON PLASMA SCIENCE ,(under revison),2017

3. Rong-gang Cao*，Xiangcai Xu, Analysis of the velocity and current measurement method based on B-dot probes for the rail-gun，IEEE TRANSACTIONS ON PLASMA SCIENCE ,(accepted),2017

4. Cao Ronggang*, Zhang Guangwei, Su Ming, Research on Miniature Calibre Rail-guns for the Mechanical Arm, The 7th International Conference on Key Engineering Materials, Penang, March, Malaysia, 2017

5. Ronggang Cao*, Erwa Dong, Xiangcai Xu, Analysis and research of online measurement technology in inner bore of EML, The 9th International Conference on Future Computer and Communication, Nagoya, Japan, 2017

6. Cao, RG* and Zhang, GW. Analysis of current characteristics of the electromagnetic rail gun based on HHT. IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 13 (2) , pp.339-340. Feb 2018

7. Dong, E and Cao, RG*. The Inner Surface Profile Measurement Apparatus for an Electromagnetic Rail-gun Launcher 10.1109/JSEN.2018.2817683.IEEE Sensors Journal（1530-437X ：3.073）.2018.05

8. Zhang, GW; Cao, RG* and Li, P. Analysis of a Measurement Method for the Railgun Current and the Armature's Speed and Initial Position,10.1109/JSEN.2018.2872838,IEEE Sensors Journal,（1530-437X ：3.073）,2018.12

9. Cao, RG*; Duo, Z and Su, M. Analysis of Magnetic Field Waveforms of Different Launching Stages of Rail Gun Based on Wavelet Transform. IEEE TRANSACTIONS ON PLASMA SCIENCE 47 (1) , pp.500-507, Jan 2019

10. Zhou, Y and Cao, RG*. The artificial neural network prediction algorithm research of rail-gun current and armature speed based on B-dot probes array,10.1016/j.measurement.2018.09.078, MEASUREMENT, 133 , pp.47-55（0263-2241：3.364）2019.02

11. Zhang, GW; Cao, RG* and Li, P. Comparison of Magnetic Field Characteristics Produced by Three-Electrode Spark Gap Switch and Thyristor Switch in Power Pulsed Systems, IEEE TRANSACTIONS ON PLASMA SCIENCE 47 (11) , pp.5172-5179, Nov 2019

12. Dong, EW; Cao, RG* and Hao, XH. Research on the inner bore profile detecting system of railgun，Measurement（0263-2241：3.364）, 150, 10.1016/j.measurement.2019.107053，2020.01

13. Cao RG*, Ma X, Zhang GW, et. al. Analysis about Change of the Armature's Average Speed for an Experimental Rail Launcher, IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 16 (8) , pp.1046-1054, 2021.08

14. Ma X, Cao RG*, Zhou Y, et. al. A Calibration Method of Inner Bore Profile Detecting on Electromagnetic Railgun, IEEE SENSORS JOURNAL, 21 (18) , pp.20440-20446, 2021.09

15. Zhou, Yu; Cao, Ronggang*; Li, Ping; Ma, Xiao; Hu, Xueyi; Li, Fadong, A damage detection system for inner bore of electromagnetic railgun launcher based on deep learning and computer vision. : Expert Systems with Applications, v 202, September 15, 2022

16. Zhou, Yu; Cao, Ronggang*; Li, Ping; Ma, Xiao，兵工学报，2023.8.23，一种用于外场试验图像的引信炸点检测方法

17. Zhou, Yu; Cao, Ronggang*,et al. A target spatial location method for fuze detonation point based on deep learning and sensor fusion,: Expert Systems with Applications, 2024.03

18.Zhang Anqi, Cao, Ronggang*, et al. 基于2D-FFT与2D-CFAR的调频引信快速高精度信号处理方法研究,北京航空航天大学学报, 2024.08

近五年指导14名硕士，其中毕业8名、硕转博2人、在读4名；1人次获“校优秀硕士论文”，2人次获“研究生国家奖学金”，7人次获“研究生学业一等奖学金”，1人次获“优秀研究生标兵奖学金”，研究生就业良好；主持教改2项。
1、主要讲授课程:
本科生课程《高速信号处理器》
本科生课程《专业综合实验》
2、指导大学生“世纪杯”学生课外学术科技作品竞赛获校级1等奖（2018）；
3、指导研究生获得校级优秀硕士毕业论文（2022，马啸）；

1、军内科技进步一等奖1项（2020，8）
2、122大阳城集团网站优秀教育教学成果奖（2021，4）

1、中国电工技术学会电磁发射技术专委会委员