TY - GEN
T1 - Stagger PRI Radar Signal Deinterleaving based on Image Semantic Segmentation
AU - Liu, Yifei
AU - Xie, Jian
AU - Tao, Mingliang
AU - Tang, Shuting
AU - Tang, Zhihao
AU - Wang, Ling
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Signal deinterleaving is an important prerequisite step for recognizing radar emitters. However, with the advancement of digital emission technology, traditional signal deinterleaving algorithms have difficulty in obtaining accurate results for complex stagger pulse repetition interval (PRI) signals. To solve this issue, a deinterleaving method based on the image semantic segmentation technique is proposed. This method can characterize the frequency features of different PRI types on pixel distribution, estimate the potential PRI of the sequence, and extract the corresponding pulse sequence by using a segmentation network. Experimental results demonstrate that the proposed method could achieve superior results for staggered radar emitters.
AB - Signal deinterleaving is an important prerequisite step for recognizing radar emitters. However, with the advancement of digital emission technology, traditional signal deinterleaving algorithms have difficulty in obtaining accurate results for complex stagger pulse repetition interval (PRI) signals. To solve this issue, a deinterleaving method based on the image semantic segmentation technique is proposed. This method can characterize the frequency features of different PRI types on pixel distribution, estimate the potential PRI of the sequence, and extract the corresponding pulse sequence by using a segmentation network. Experimental results demonstrate that the proposed method could achieve superior results for staggered radar emitters.
KW - deep learning
KW - semantic segmentation
KW - Signal deinterleaving
KW - staggered pulse repetition interval
UR - http://www.scopus.com/inward/record.url?scp=85141198274&partnerID=8YFLogxK
U2 - 10.1109/ICEICT55736.2022.9909452
DO - 10.1109/ICEICT55736.2022.9909452
M3 - 会议稿件
AN - SCOPUS:85141198274
T3 - 2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022
SP - 599
EP - 602
BT - 2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2022
Y2 - 21 August 2022 through 23 August 2022
ER -