一种SAR两维自聚焦算法的FPGA实现

郭江哲; 朱岱寅; 毛新华

doi:10.12000/JR15092

一种SAR两维自聚焦算法的FPGA实现

doi: 10.12000/JR15092

1.
(南京航空航天大学电子信息工程学院南京 210016)
2.
(南京航空航天大学雷达成像与微波光子技术教育部重点实验室南京 210016)

基金项目:

国防基础科研计划(B2520110008),江苏高校优势学科建设工程资助项目,中央高校基本科研业务费专项资金,南京航空航天大学基本科研业务费(NS2013023)

详细信息

作者简介:
郭江哲(1990-),男,福建厦门人,2013年本科毕业于南京航空航天大学,现为南京航空航天大学在读硕士研究生,主要研究方向为雷达信号处理及硬件实现。E-mail:gjznuaa@163.com毛新华(1979-),男,湖南涟源人,2003年本科毕业于南京航空航天大学电子工程系,2009年于南京航空航天大学信息科学与技术学院获博士学位,现为南京航空航天大学副教授,硕士生导师,主要从事合成孔径雷达信号处理方面的研究。E-mail:xinhua@nuaa.edu.cn朱岱寅(1974-),男,江苏无锡人,1996年本科毕业于东南大学无线电工程系,分别于1998年和2002年在南京航空航天大学电子工程系获硕士和博士学位,现为南京航空航天大学教授,博士生导师,IEEE会员,主要从事雷达成像和信号处理方面的研究。E-mail:zhudy@nuaa.edu.cn

通讯作者:
郭江哲gjznuaa@163.com

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- 被引次数: 0
出版历程
- 收稿日期: 2015-08-06
- 修回日期: 2015-11-03
- 网络出版日期: 2016-08-28

FPGA Implementation of a SAR Two-dimensional Autofocus Approach

1.
(College of Electronic & Information Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China)
2.
(Radar Imaging & Microwave Photonics Technology Key Laboratory of Ministry of Education, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China)

Funds:

Defense Industrial Technology Development Program (B2520110008), A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions, The Fundamental Research Funds by the Central Universities, The NUAA Fundamental Research Funds (NS2013023)

摘要

摘要: 为实时完成合成孔径雷达(SAR)散焦图像的自聚焦,该文提出了一种能够校正残留距离徙动并且适用于空变误差场景的2维自聚焦处理方案。该方案首先利用2维自聚焦算法同时校正残留距离徙动和粗略补偿相位误差,然后进行分块PGA校正空变误差。文中详细阐述了该方案的FPGA设计过程,并对资源占用、运算速度、精度和聚焦效果进行了分析。当FPGA工作在200 MHz时,系统可在5.7 s内完成了8K8K点单精度复图像的自聚焦处理。实测数据处理结果充分验证了该系统的实时性和有效性。
- 相位误差 /
- 2维自聚焦 /
- 空变补偿 /
- FPGA /
- 实时
Abstract: For real-time autofocus of defocused images produced by Synthetic Aperture Radar (SAR), the twodimensional autofocus approach proposed in this study is used to correct the residual range cell migration and compensate for the phase error. Next, a block-wise Phase Gradient Autofocus (PGA) is used to correct the space-variant phase error. The Field-Programmable Gate Array (FPGA) design procedures, resource utilization, processing speed, accuracy, and autofocus are discussed in detail. The system is able to autofocus an 8K 8K complex image with single precision within 5.7 s when the FPGA works at 200 MHz. The processing of the measured data verifies the effectiveness and real-time capability of the proposed method.
- Phase error /
- 2-D autofocus /
- Space-variant compensation /
- Field-Programmable Gate Array (FPGA) /
- Real-time

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参考文献(13)

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