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

Peng Zhao*, Weidong Hu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publication2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350338874
DOIs
Publication statusPublished - 2023
Event15th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Qingdao, China
Duration: 14 May 202317 May 2023

Publication series

Name2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings

Conference

Conference15th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023
Country/TerritoryChina
CityQingdao
Period14/05/2317/05/23

Keywords

  • Compressed sensing
  • Compression ratio
  • Nyquist sampling criterion
  • RCS

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