Study of Rotational Motion Compensation Method Based on PPP for ISAR Imaging
Author:
Funder
Ministry of Science ICT and Future Planning
Publisher
Korean Institute of Electromagnetic Engineering and Science
Link
http://jkiees.org/download/download_pdf?doi=10.5515/KJKIEES.2018.29.2.109
Reference10 articles.
1. F. Berizzi, G. Corsini, “Autofocusing of inverse synthetic aperture radar images using contrast optimization,” IEEE Transactions on Aerospace and Electronic Systems, vol. 32, no. 3, pp. 1185-1191, Jul. 1996. 10.1109/7.532282
2. M. S. Kang, S. J. Lee, S. H. Lee, and K. T. Kim, “ISAR imaging of high-speed maneuvering target using gapped stepped-frequency waveform and compressive sensing,” IEEE Transactions on Image Processing, vol. 26, no. 10, pp. 5043-5056, Oct. 2017. 10.1109/TIP.2017.2728182, 28727550
3. 배지훈, 강병수, 김경태, 양은정, “데이터 손실이 있는 RCS 데이터에서 압축 센싱 이론을 적용한 ISAR 영상 복원 알고리즘 연구,” 한국전자파학회논문지, 25(9), pp. 952-958, 2014년 9월. 10.5515/KJKIEES.2014.25.9.952
4. T. Thayaparan, W. Brinkman, and G. Lampropoulos, “Inverse synthetic aperture radar image focusing using fast adaptive joint time-frequency and three-dimensional motion detection on experimental radar data,” IET Signal Processing, vol. 4, no. 4, pp. 382-394, Aug. 2010. 10.1049/iet-spr.2009.0102
5. Y. Li, Y. Fu, X. Li, and L. Le-wei, “ISAR imaging of multiple targets using particle swarm optimisation - adaptive joint time frequency approach,” IET Signal Processing, vol. 4, no. 4, pp. 343-351, Aug. 2010. 10.1049/iet-spr.2009.0046
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