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个人信息Personal Information
教授
招生学科专业:
电子科学与技术 -- 【招收博士、硕士研究生】 -- 电子信息工程学院
信息与通信工程 -- 【招收博士、硕士研究生】 -- 电子信息工程学院
电子信息 -- 【招收博士、硕士研究生】 -- 电子信息工程学院
毕业院校:南京航空航天大学
学历:南京航空航天大学
学位:工学博士学位
所在单位:电子信息工程学院
办公地点:电子信息工程学院318办公室
联系方式:zhudy@nuaa.edu.cn, 025-84892410(Tel), 2843602904(qq)
电子邮箱:
Omega-K algorithm based on series reversion and least square for high-resolution spaceborne SAR
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所属单位:电子信息工程学院
发表刊物:Dig Int Geosci Remote Sens Symp (IGARSS)
摘要: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.
是否译文:否
发表时间:2018-10-31
合写作者:Yang, Mingdong,F70206527
通讯作者:朱岱寅