Daiyin Zhu
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Paper Publications
Omega-K algorithm based on series reversion and least square for high-resolution spaceborne SAR
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Affiliation of Author(s):电子信息工程学院

Journal:Dig Int Geosci Remote Sens Symp (IGARSS)

Abstract:When processing high-resolution spaceborne synthetic aperture radar (SAR) data, the orbit curvature is a key aspect that must be taken into account. The non-hyperbolic range history makes most SAR imaging approaches not suitable for the curved orbit. Based on the two-dimensional spectrum derived by series reversion (SR), a modified Omega-K algorithm (OKA) is proposed in this paper. Making use of the reference function calculated by SR, an accurate bulk compression is implemented. Following, a modified Stolt interpolation is applied based on least square (LS), to perform the residual range-variant processing efficiently. The method described can achieve satisfactory focusing results for spaceborne SAR, without a large number of computation. Point targets simulations have validated the presented research. © 2018 IEEE.

Translation or Not:no

Date of Publication:2018-10-31

Co-author:Yang, Mingdong,F70206527

Correspondence Author:Daiyin Zhu

Personal information

Professor

Alma Mater:南京航空航天大学

Education Level:南京航空航天大学

Degree:Doctoral Degree in Engineering

School/Department:College of Electronic and Information Engineering

Discipline:Communications and Information Systems. Communications and Information Systems. Signal and Information Processing

Business Address:电子信息工程学院318办公室

Contact Information:zhudy@nuaa.edu.cn, 025-84892410(Tel), 2843602904(qq)

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