Daiyin Zhu
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High-resolution spotlight spaceborne SAR focusing via modified-SVDS and deramping-based approach
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Affiliation of Author(s):电子信息工程学院

Journal:IET RADAR SONAR AND NAVIGATION

Key Words:synthetic aperture radar singular value decomposition radar imaging spaceborne radar curved orbit modified singular value decomposition Stolt deramping-based approach modified SVDS azimuth spectral aliasing problem azimuth resolutions high-resolution spotlight spaceborne SAR focusing fine resolution spaceborne radar imaging synthetic aperture radar imaging numerical differentiation

Abstract:Fine resolution spaceborne spotlight synthetic aperture radar (SAR) imaging is typically affected by the problems of curved orbit and azimuth spectral aliasing, especially when the resolution achieves the decimetre level. In order to overcome these difficulties, a method is proposed here, which consists of the modified singular value decomposition Stolt (SVDS) and the deramping-based approach. The modified SVDS is designed to properly handle the influence induced by curved orbit, and the deramping-based approach is utilised to solve the azimuth spectral aliasing problem. The modified SVDS is derived from the original SVDS by further taking the singular value into consideration, which is more concise and efficient. In addition, the deramping-based approach is combined with numerical differentiation so as to accommodate the situation of curved orbit. The proposed method has smaller phase error and performs better than the generalised omega K method when resolution achieves decimetre level. Experiments carried out on point target simulation validate the effectiveness of the presented method. With focused scene size of 4 by 3 km, the range and azimuth resolutions can achieve 0.15 and 0.14 m, respectively.

ISSN No.:1751-8784

Translation or Not:no

Date of Publication:2019-10-01

Co-author:Qian, Yulei

Correspondence Author:Daiyin Zhu

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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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