A Novel 3-D Imaging Algorithm for Downward-Looking MIMO Array SAR
Konferenz: EUSAR 2016 - 11th European Conference on Synthetic Aperture Radar
06.06.2016 - 09.06.2016 in Hamburg, Germany
Tagungsband: EUSAR 2016
Seiten: 4Sprache: EnglischTyp: PDFPersönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt
Liao, Bin; Dai, Dahai (School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China)
Xing, Shiqi; Pang, Bo; Wang, Xuesong (State Key Laboratory of Complex Electromagnetics Effects on Eletctronics and Information System, National University of Defense Technology, Changsha 410073, China)
Downward-looking MIMO array 3-D synthetic aperture radar is a hot research recently, it overcomes the layover and can acquire more information with the affordable antenna elements. The multiple transmitters and receivers provide a larger degree of freedom, which could be uesd to reduce the pulse repeat frequency, extend the wide-swath or suppress the interferers and so on. However, there are little literates considering the polarization in this new radar system, this paper introduce the polarization in and proposed a Tikhonov regularization algorithm to reconstruct the 3-D images. The simulation results show the proposed algorithm is excel to FFT method with the SNR increase.