TY - GEN
T1 - Recognition of Working Mode for Multifunctional Phased Array Radar Under Small Sample Condition
AU - Tang, Zhihao
AU - Gong, Yanyun
AU - Tao, Mingliang
AU - Su, Jia
AU - Fan, Yifei
AU - Li, Tao
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Multifunctional phased array radar has been widely applied and its working mode recognition is important. However, the intra-pulse parameters of the multifunctional phased array radar are extremely close between different operating modes, making it difficult to distinguish. And it has the characteristics of fast beam scanning, complex waveform, and power control, which leads to a small sample size in working mode recognition. This paper proposes to utilize a generative adversarial network (GAN) to amplify datasets with extremely small samples and characterize the inter-pulse characteristics. Experimental results show that the proposed method can achieve a 10% improvement in accuracy under a small sample size of 25%.
AB - Multifunctional phased array radar has been widely applied and its working mode recognition is important. However, the intra-pulse parameters of the multifunctional phased array radar are extremely close between different operating modes, making it difficult to distinguish. And it has the characteristics of fast beam scanning, complex waveform, and power control, which leads to a small sample size in working mode recognition. This paper proposes to utilize a generative adversarial network (GAN) to amplify datasets with extremely small samples and characterize the inter-pulse characteristics. Experimental results show that the proposed method can achieve a 10% improvement in accuracy under a small sample size of 25%.
KW - generative adversarial network (GAN)
KW - Multifunctional phased array radar
KW - radar working mode recognition
KW - small sample condition
UR - https://www.scopus.com/pages/publications/85173890448
U2 - 10.1109/ICEICT57916.2023.10245009
DO - 10.1109/ICEICT57916.2023.10245009
M3 - 会议稿件
AN - SCOPUS:85173890448
T3 - 2023 IEEE 6th International Conference on Electronic Information and Communication Technology, ICEICT 2023
SP - 1157
EP - 1160
BT - 2023 IEEE 6th International Conference on Electronic Information and Communication Technology, ICEICT 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2023
Y2 - 21 July 2023 through 24 July 2023
ER -