RCS Feature Extraction Using Discretized Point Scatterer With Compressive Sensing-Reference-Cited by-同舟云学术

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RCS Feature Extraction Using Discretized Point Scatterer With Compressive Sensing

Published:2021-02 Issue:2 Volume:20 Page:165-168
ISSN:1536-1225
Container-title:IEEE Antennas and Wireless Propagation Letters
language:
Short-container-title:Antennas Wirel. Propag. Lett.

Author:

Noh Yeong-Hoon^ORCID,Kim Woobin^ORCID,Tae Hyun-Sung,Kim Jeong-Kyu,Hong Ic-Pyo^ORCID,Yook Jong-Gwan^ORCID

Funder

Aerospace Low Observable Technology Laboratory

Defense Acquisition Program Administration and the Agency for Defense Development of the Republic of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/7727/9345535/09285204.pdf?arnumber=9285204

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ultra-Wideband Radar Detection Based on Target Response and Time Reversal;IEEE Sensors Journal;2024-05-01

2. Using the CLEAN Method in Three-Dimensional Polarimetric ISAR Imaging Based on Volumetric Scattering Points;Journal of Electromagnetic Engineering and Science;2024-01-31

3. Communication Bistatic RCS Estimation Using Monostatic Scattering Centers With Compressive Sensing;IEEE Transactions on Antennas and Propagation;2022-08

4. Evaluating the Scattering Contribution by RCS Feature Extraction Using Point Scatterer Modeling with Compressive Sensing;2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI);2022-07-10

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