TY - GEN
T1 - Research on Active Jamming Recognition in Complex Electromagnetic Environment
AU - Xu, Chang
AU - Yu, Lei
AU - Wei, Yinsheng
AU - Tong, Peng
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - With the development of electronic jamming technology, more and more active jamming is applied in electronic warfare. Because there are many kinds of jamming in complex electromagnetic environment, it is difficult for radar to recognize all kinds of jamming effectively. In order to solve this problem, seven typical suppression jamming and deception jamming are modeled and simulated in this paper. Then, a set of highly separable features are extracted from the time domain, frequency domain and time-frequency domain, which are sent into decision tree and support vector machine (SVM) for jamming recognition and their recognition accuracy are compared. The simulation results show that under the condition of feature extraction, the recognition accuracy of decision tree for active jamming is higher.
AB - With the development of electronic jamming technology, more and more active jamming is applied in electronic warfare. Because there are many kinds of jamming in complex electromagnetic environment, it is difficult for radar to recognize all kinds of jamming effectively. In order to solve this problem, seven typical suppression jamming and deception jamming are modeled and simulated in this paper. Then, a set of highly separable features are extracted from the time domain, frequency domain and time-frequency domain, which are sent into decision tree and support vector machine (SVM) for jamming recognition and their recognition accuracy are compared. The simulation results show that under the condition of feature extraction, the recognition accuracy of decision tree for active jamming is higher.
KW - complex electromagnetic environments
KW - jamming recognition
KW - multidimensional feature extraction
UR - https://www.scopus.com/pages/publications/85091944187
U2 - 10.1109/ICSIDP47821.2019.9173455
DO - 10.1109/ICSIDP47821.2019.9173455
M3 - 会议稿件
AN - SCOPUS:85091944187
T3 - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
BT - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
Y2 - 11 December 2019 through 13 December 2019
ER -