Art
J-GLOBAL ID:202102228427242180   Reference number:21A2434498

Interference Mitigation for Synthetic Aperture Radar Based on Deep Residual Network

深層残差ネットワークに基づく合成開口レーダのための干渉軽減【JST・京大機械翻訳】
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Material:
Volume: 11  Issue: 14  Page: 1654  Publication year: 2019 
JST Material Number: U7270A  ISSN: 2072-4292  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
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Radio Frequency Interference (...
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Signal theory  ,  Radar  ,  Graphic and image processing in general  ,  Noise in general 
Reference (47):
  • Moreira, A.; Prats-Iraola, P.; Younis, M.; Krieger, G.; Hajnsek, I.; Papathanassiou, K.P. A tutorial on synthetic aperture radar. IEEE Geosci. Remote Sens. Mag. 2013, 1, 6-43.
  • Reigber, A.; Scheiber, R.; Jager, M.; Pau, P.; Hajnsek, I.; Jagdhuber, T. Very-high-resolution airborne synthetic aperture radar imaging: signal processing and applications. Proc. IEEE 2013, 101, 759-783.
  • Dudczyk, J.; Kawalec, A.; Cyrek, J. Applying the distance and similarity functions to radar signals identification. In Proceedings of the 2008 International Radar Symposium, Wroclaw, Poland, 21-23 May 2008.
  • Dudczyk, J.; Kawalec, A. Optimizing the minimum cost flow algorithm for the phase unwrapping process in SAR radar. Bull. Pol. Acad. Sci. Tech. Sci. 2014, 62, 511-516.
  • Matuszewski, J. Radar signal identification using a neural network and pattern recognition methods. In Proceedings of the 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET), Lviv-Slavske, Ukraine, 20-24 February 2018; pp. 79-83.
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