朱岱寅^1,,,
张营^1,,
俞翔^2,,
毛新华^1,,
张劲东^1,,
李勇^1,
1.南京航空航天大学电子信息工程学院雷达成像与微波光子技术教育部重点实验室 南京 211106
2.南京工程学院计算机工程学院 南京 211167
基金项目:国家自然科学基金(61671240)，航空科学基金(20182052013)

详细信息

作者简介:朱岱寅(1974–)，男，江苏人，教授，博士生导师。研究方向为合成孔径雷达/逆合成孔径雷达(SAR/ISAR)成像以及自聚焦算法、干涉SAR成像、SAR地面动目标指示以及机载雷达动目标指示技术。自2018年开始担任《雷达学报》编委。E-mail: zhudy@nuaa.edu.cn
张营：张　营(1994–)，男，河北人，博士生。研究方向为视频合成孔径雷达、计算机视觉与图像解译、机器学习与遥感、SAR成像技术。E-mail: zhy1994@nuaa.edu.cn
俞翔：俞　翔(1982–)，男，江苏人，副教授。研究方向为逆合成孔径雷达成像技术。E-mail: cw-al20@163.com
毛新华(1979–)，男，副教授，硕士生导师。研究方向为机载/星载合成孔径雷达、SAR自聚焦技术、微型无人机雷达成像、动目标成像。E-mail: xinhua@nuaa.edu.cn
张劲东(1981–)，男，江苏人，副教授，硕士生导师。研究方向为新体制雷达的研发、雷达信号分析与处理、高速数字信号处理系统设计与实现。E-mail: zjdjs@126.com
李勇：李　勇(1977–)，男，河南人，副教授，硕士生导师。研究方向为雷达信号处理、雷达系统。E-mail: limack@nuaa.edu.cn

通讯作者:朱岱寅 zhudy@nuaa.edu.cn

中图分类号:TN957.5

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出版历程

收稿日期:2019-10-28
修回日期:2019-12-24
网络出版日期:2020-01-06

Imaging Signal Processing Technology for Miniature Synthetic Aperture Radar

ZHU Daiyin^1,,,
ZHANG Ying^1,,
YU Xiang^2,,
MAO Xinhua^1,,
ZHANG Jindong^1,,
LI Yong^1,
1. Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
2. Department of Computer Engineering, Nanjing Institute of Technology, Nanjing 211167, China
Funds:The National Natural Science Foundation of China (61671240), The Aeronautical Science Foundation of China (20182052013)

More Information

Corresponding author:ZHU Daiyin, zhudy@nuaa.edu.cn

摘要
摘要:微型合成孔径雷达(MiniSAR)有效突破了时间与空间的限制，具备轻量化、低功耗、高灵活度等优势，能够满足感兴趣区域(ROI)的高分辨成像需求。然而，MiniSAR成像信号处理依然面临若干技术难题，例如复杂航迹条件下对地面目标的高分辨成像，非合作动目标的重聚焦，数据处理的效率与实时性等。据此，该文提出了一系列成像信号处理技术及其对应的现场可编辑门阵列(FPGA)硬件设计架构，从而实现了MiniSAR高分辨率成像与实时性处理。最后，基于多组聚束/条带式MiniSAR试验结果，验证了该文方法的有效性和可靠性。
关键词:微型合成孔径雷达/
高分辨率/
成像信号处理/
实时处理
Abstract:Miniature Synthetic Aperture Radar (MiniSAR) has been making breakthroughs to effectively overcome the limitations of time and space, and has exhibited superiority with respect to light weight and low-power consumption as well as high flexibility to achieve high-resolution imaging for the Region Of Interest (ROI). However, imaging signal processing for MiniSAR systems still face several technical challenges such as high-resolution imaging of ground targets under complicated trajectories, refocusing of non-cooperative moving targets, and efficient and real-time processing of echo data. In this paper, a series of imaging signal processing and associated hardware designs using Field-Programmable Gate Array (FPGA) architecture have been proposed to realize MiniSAR ultra-high-resolution imaging and real-time processing. Additionally, experimental results utilizing considerable spotlight and stripmap MiniSAR data have been presented to demonstrate the effectiveness and reliability of the proposed technology.
Key words:Miniature Synthetic Aperture Radar (MiniSAR)/
High resolution/
Imaging signal processing/
Real-time processing



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