Radar Cross Section Inversion in Sparse Sampling Mode using Compressed Sensing Techniques

Peng Zhao; Weidong Hu

doi:10.1109/ICMMT58241.2023.10277289

Radar Cross Section Inversion in Sparse Sampling Mode using Compressed Sensing Techniques

Peng Zhao^*, Weidong Hu

^*Corresponding author for this work

School of Integrated Circuits and Electronics

Beijing Institute of Technology

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

Abstract

The traditional RCS test system needs to meet the Nyquist sampling criterion. It puts great pressure on the data processing and storage capacity of RCS test system in large test tasks. In this paper, a new RCS test system is studied. By using compressed sensing technology, the accurate measurement of RCS can be realized in the undersampling mode. By designing comparative experiments, when the compression ratio is 0.5, the CS-RCS test technology has a measurement accuracy error within 0.2dB compared with the traditional RCS test technology, and only half of the data is used.

Original language	English
Title of host publication	2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350338874
DOIs	https://doi.org/10.1109/ICMMT58241.2023.10277289
Publication status	Published - 2023
Event	15th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Qingdao, China Duration: 14 May 2023 → 17 May 2023

Publication series

Name	2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings

Conference

Conference	15th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023
Country/Territory	China
City	Qingdao
Period	14/05/23 → 17/05/23

Keywords

Compressed sensing
Compression ratio
Nyquist sampling criterion
RCS

Access to Document

10.1109/ICMMT58241.2023.10277289

Cite this

Zhao, P., & Hu, W. (2023). Radar Cross Section Inversion in Sparse Sampling Mode using Compressed Sensing Techniques. In 2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings (2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMMT58241.2023.10277289

Zhao, Peng ; Hu, Weidong. / Radar Cross Section Inversion in Sparse Sampling Mode using Compressed Sensing Techniques. 2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings).

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title = "Radar Cross Section Inversion in Sparse Sampling Mode using Compressed Sensing Techniques",

abstract = "The traditional RCS test system needs to meet the Nyquist sampling criterion. It puts great pressure on the data processing and storage capacity of RCS test system in large test tasks. In this paper, a new RCS test system is studied. By using compressed sensing technology, the accurate measurement of RCS can be realized in the undersampling mode. By designing comparative experiments, when the compression ratio is 0.5, the CS-RCS test technology has a measurement accuracy error within 0.2dB compared with the traditional RCS test technology, and only half of the data is used.",

keywords = "Compressed sensing, Compression ratio, Nyquist sampling criterion, RCS",

author = "Peng Zhao and Weidong Hu",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 15th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 ; Conference date: 14-05-2023 Through 17-05-2023",

year = "2023",

doi = "10.1109/ICMMT58241.2023.10277289",

language = "English",

series = "2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings",

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

booktitle = "2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings",

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}

Zhao, P & Hu, W 2023, Radar Cross Section Inversion in Sparse Sampling Mode using Compressed Sensing Techniques. in 2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings. 2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 15th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023, Qingdao, China, 14/05/23. https://doi.org/10.1109/ICMMT58241.2023.10277289

Radar Cross Section Inversion in Sparse Sampling Mode using Compressed Sensing Techniques. / Zhao, Peng; Hu, Weidong.
2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings).

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

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AU - Hu, Weidong

PY - 2023

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N2 - The traditional RCS test system needs to meet the Nyquist sampling criterion. It puts great pressure on the data processing and storage capacity of RCS test system in large test tasks. In this paper, a new RCS test system is studied. By using compressed sensing technology, the accurate measurement of RCS can be realized in the undersampling mode. By designing comparative experiments, when the compression ratio is 0.5, the CS-RCS test technology has a measurement accuracy error within 0.2dB compared with the traditional RCS test technology, and only half of the data is used.

AB - The traditional RCS test system needs to meet the Nyquist sampling criterion. It puts great pressure on the data processing and storage capacity of RCS test system in large test tasks. In this paper, a new RCS test system is studied. By using compressed sensing technology, the accurate measurement of RCS can be realized in the undersampling mode. By designing comparative experiments, when the compression ratio is 0.5, the CS-RCS test technology has a measurement accuracy error within 0.2dB compared with the traditional RCS test technology, and only half of the data is used.

KW - Compressed sensing

KW - Compression ratio

KW - Nyquist sampling criterion

KW - RCS

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M3 - Conference contribution

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T3 - 2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings

BT - 2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023

Y2 - 14 May 2023 through 17 May 2023

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Zhao P, Hu W. Radar Cross Section Inversion in Sparse Sampling Mode using Compressed Sensing Techniques. In 2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings). doi: 10.1109/ICMMT58241.2023.10277289

Radar Cross Section Inversion in Sparse Sampling Mode using Compressed Sensing Techniques

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