Stagger PRI Radar Signal Deinterleaving based on Image Semantic Segmentation

Yifei Liu; Jian Xie; Mingliang Tao; Shuting Tang; Zhihao Tang; Ling Wang

doi:10.1109/ICEICT55736.2022.9909452

Stagger PRI Radar Signal Deinterleaving based on Image Semantic Segmentation

Yifei Liu, Jian Xie, Mingliang Tao, Shuting Tang, Zhihao Tang, Ling Wang

School of Electronics and Information

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

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.

Original language	English
Title of host publication	2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	599-602
Number of pages	4
ISBN (Electronic)	9781665472111
DOIs	https://doi.org/10.1109/ICEICT55736.2022.9909452
State	Published - 2022
Event	5th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2022 - Hefei, China Duration: 21 Aug 2022 → 23 Aug 2022

Publication series

Name	2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022

Conference

Conference	5th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2022
Country/Territory	China
City	Hefei
Period	21/08/22 → 23/08/22

Keywords

deep learning
semantic segmentation
Signal deinterleaving
staggered pulse repetition interval

Access to Document

10.1109/ICEICT55736.2022.9909452

Cite this

Liu, Y., Xie, J., Tao, M., Tang, S., Tang, Z., & Wang, L. (2022). Stagger PRI Radar Signal Deinterleaving based on Image Semantic Segmentation. In 2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022 (pp. 599-602). (2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEICT55736.2022.9909452

Liu, Yifei ; Xie, Jian ; Tao, Mingliang et al. / Stagger PRI Radar Signal Deinterleaving based on Image Semantic Segmentation. 2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 599-602 (2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022).

@inproceedings{9784a5237205441f83ab498b65e61511,

title = "Stagger PRI Radar Signal Deinterleaving based on Image Semantic Segmentation",

abstract = "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.",

keywords = "deep learning, semantic segmentation, Signal deinterleaving, staggered pulse repetition interval",

author = "Yifei Liu and Jian Xie and Mingliang Tao and Shuting Tang and Zhihao Tang and Ling Wang",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 5th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2022 ; Conference date: 21-08-2022 Through 23-08-2022",

year = "2022",

doi = "10.1109/ICEICT55736.2022.9909452",

language = "英语",

series = "2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "599--602",

booktitle = "2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022",

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Liu, Y, Xie, J , Tao, M, Tang, S, Tang, Z & Wang, L 2022, Stagger PRI Radar Signal Deinterleaving based on Image Semantic Segmentation. in 2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022. 2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022, Institute of Electrical and Electronics Engineers Inc., pp. 599-602, 5th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2022, Hefei, China, 21/08/22. https://doi.org/10.1109/ICEICT55736.2022.9909452

Stagger PRI Radar Signal Deinterleaving based on Image Semantic Segmentation. / Liu, Yifei; Xie, Jian ; Tao, Mingliang et al.
2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 599-602 (2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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

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M3 - 会议稿件

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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

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Liu Y, Xie J , Tao M, Tang S, Tang Z, Wang L. Stagger PRI Radar Signal Deinterleaving based on Image Semantic Segmentation. In 2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 599-602. (2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022). doi: 10.1109/ICEICT55736.2022.9909452

Stagger PRI Radar Signal Deinterleaving based on Image Semantic Segmentation

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