@inproceedings{aa19d7d999b44a2e888808d2a6ee6a3b,
title = "Coupling signal suppression method of ground-based synthetic aperture radar based on singular value decomposition",
abstract = "In ground-based frequency modulated continuous wave (FMCW) synthetic aperture radar (SAR) images, false targets caused by coupling signal may appear. Traditional digital cancellation methods cannot estimate reference cancellation signal in real-time. A new method based on singular value decomposition (SVD) to suppress radar coupling signal is put forward. In slow time coupling signal is changeless while echo signal is changing, with which the reference cancellation signal can be estimated by SVD method. However, if there are too many points in range and frames in azimuth, the SVD algorithm will be too complicated to process echo data. So echo matrix partition and sub-matrixes decomposition are used in SVD processing to reduce the algorithm cost of time and space. There is a coupling signal suppression experiment using the ground-based FMCW SAR system In this paper. The validity of new method has been verified.",
keywords = "Digital cancellation, FMCW, Matrix decomposition, SAR, SVD",
author = "Lilei Yin and Weiming Tian and Zehai Wang and Tao Zeng and Maokui Mei",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 CIE International Conference on Radar, RADAR 2016 ; Conference date: 10-10-2016 Through 13-10-2016",
year = "2017",
month = oct,
day = "4",
doi = "10.1109/RADAR.2016.8059192",
language = "English",
series = "2016 CIE International Conference on Radar, RADAR 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 CIE International Conference on Radar, RADAR 2016",
address = "United States",
}