Recognition of Working Mode for Multifunctional Phased Array Radar Under Small Sample Condition

Zhihao Tang; Yanyun Gong; Mingliang Tao; Jia Su; Yifei Fan; Tao Li

doi:10.1109/ICEICT57916.2023.10245009

Recognition of Working Mode for Multifunctional Phased Array Radar Under Small Sample Condition

Zhihao Tang, Yanyun Gong, Mingliang Tao, Jia Su, Yifei Fan, Tao Li

School of Electronics and Information

Northwestern Polytechnical University Xian

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

1 Scopus citations

Abstract

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%.

Original language	English
Title of host publication	2023 IEEE 6th International Conference on Electronic Information and Communication Technology, ICEICT 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1157-1160
Number of pages	4
ISBN (Electronic)	9798350399059
DOIs	https://doi.org/10.1109/ICEICT57916.2023.10245009
State	Published - 2023
Event	6th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2023 - Qingdao, China Duration: 21 Jul 2023 → 24 Jul 2023

Publication series

Name	2023 IEEE 6th International Conference on Electronic Information and Communication Technology, ICEICT 2023

Conference

Conference	6th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2023
Country/Territory	China
City	Qingdao
Period	21/07/23 → 24/07/23

Keywords

generative adversarial network (GAN)
Multifunctional phased array radar
radar working mode recognition
small sample condition

Access to Document

10.1109/ICEICT57916.2023.10245009

Cite this

Tang, Z., Gong, Y., Tao, M., Su, J., Fan, Y., & Li, T. (2023). Recognition of Working Mode for Multifunctional Phased Array Radar Under Small Sample Condition. In 2023 IEEE 6th International Conference on Electronic Information and Communication Technology, ICEICT 2023 (pp. 1157-1160). (2023 IEEE 6th International Conference on Electronic Information and Communication Technology, ICEICT 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEICT57916.2023.10245009

Tang, Zhihao ; Gong, Yanyun ; Tao, Mingliang et al. / Recognition of Working Mode for Multifunctional Phased Array Radar Under Small Sample Condition. 2023 IEEE 6th International Conference on Electronic Information and Communication Technology, ICEICT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 1157-1160 (2023 IEEE 6th International Conference on Electronic Information and Communication Technology, ICEICT 2023).

@inproceedings{3bf88d6fc5744f5c978732352dbc25df,

title = "Recognition of Working Mode for Multifunctional Phased Array Radar Under Small Sample Condition",

abstract = "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%.",

keywords = "generative adversarial network (GAN), Multifunctional phased array radar, radar working mode recognition, small sample condition",

author = "Zhihao Tang and Yanyun Gong and Mingliang Tao and Jia Su and Yifei Fan and Tao Li",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2023 ; Conference date: 21-07-2023 Through 24-07-2023",

year = "2023",

doi = "10.1109/ICEICT57916.2023.10245009",

language = "英语",

series = "2023 IEEE 6th International Conference on Electronic Information and Communication Technology, ICEICT 2023",

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

pages = "1157--1160",

booktitle = "2023 IEEE 6th International Conference on Electronic Information and Communication Technology, ICEICT 2023",

}

Tang, Z, Gong, Y , Tao, M , Su, J , Fan, Y & Li, T 2023, Recognition of Working Mode for Multifunctional Phased Array Radar Under Small Sample Condition. in 2023 IEEE 6th International Conference on Electronic Information and Communication Technology, ICEICT 2023. 2023 IEEE 6th International Conference on Electronic Information and Communication Technology, ICEICT 2023, Institute of Electrical and Electronics Engineers Inc., pp. 1157-1160, 6th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2023, Qingdao, China, 21/07/23. https://doi.org/10.1109/ICEICT57916.2023.10245009

Recognition of Working Mode for Multifunctional Phased Array Radar Under Small Sample Condition. / Tang, Zhihao; Gong, Yanyun ; Tao, Mingliang et al.
2023 IEEE 6th International Conference on Electronic Information and Communication Technology, ICEICT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1157-1160 (2023 IEEE 6th International Conference on Electronic Information and Communication Technology, ICEICT 2023).

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

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

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

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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

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Tang Z, Gong Y , Tao M , Su J , Fan Y, Li T. Recognition of Working Mode for Multifunctional Phased Array Radar Under Small Sample Condition. In 2023 IEEE 6th International Conference on Electronic Information and Communication Technology, ICEICT 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 1157-1160. (2023 IEEE 6th International Conference on Electronic Information and Communication Technology, ICEICT 2023). doi: 10.1109/ICEICT57916.2023.10245009

Recognition of Working Mode for Multifunctional Phased Array Radar Under Small Sample Condition

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