| 基于积累孔径插值技术的星载间断调频连续波SAR成像方法 |
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| 引用本文： | 闵林, 刘向前, 李宁. 基于积累孔径插值技术的星载间断调频连续波SAR成像方法[J]. 电子与信息学报, 2022, 44(7): 2461-2468. doi: 10.11999/JEIT210140 |
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| 作者姓名： | 闵林 刘向前 李宁 |
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| 作者单位： | 1.河南大学河南省智能技术与应用工程技术研究中心 开封 475004;;2.河南大学河南省大数据分析与处理重点实验室 开封 475004;;3.河南大学信息化管理办公室 开封 475004;;4.河南大学计算机与信息工程学院 开封 475004 |
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| 基金项目： | 国家自然科学基金(61871175)，河南省高等学校重点科研项目(19A420005, 21A520004)，河南省科技攻关计划项目(192102210082, 212102210093, 212102210101)，河南省青年人才托举工程(2019HYTP006) |
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| 摘 要： | 间断调频连续波(IFMCW)合成孔径雷达(SAR)模式通过在不同时间间隔内交替发射和接收信号，解决了星载调频连续波(FMCW)SAR必须收发分置的问题。然而，在该模式下，雷达天线会间歇性地工作于发射和接收状态，从而导致回波数据中出现周期性的空缺。为了解决上述问题，该文提出了一种基于积累孔径插值技术的缺失数据迭代自适应成像处理方法(MIAA-AAIT)，用于恢复缺失的数据。实验结果表明，所提方法可以有效地恢复缺失数据，从而显著提高成像质量，大幅降低由周期性数据缺失引起的虚假目标能量。
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| 关 键 词： | 合成孔径雷达 间断调频连续波 虚假目标 迭代自适应 |
| 收稿时间： | 2021-02-07 |
| 修稿时间： | 2021-03-26 |
Spaceborne Interrupted Frequency Modulation Continuous Wave SAR Imaging Based on Accumulated Aperture Interpolation Technique |
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| MIN Lin, LIU Xiangqian, LI Ning. Spaceborne Interrupted Frequency Modulation Continuous Wave SAR Imaging Based on Accumulated Aperture Interpolation Technique[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2461-2468. doi: 10.11999/JEIT210140 |
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| Authors: | MIN Lin LIU Xiangqian LI Ning |
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| Affiliation: | 1. Henan Engineering Research Center of Intelligent Technology and Application, Henan University, Kaifeng 475004, China;;2. Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng 475004, China;;3. Network Information Center Office, Henan University, Kaifeng 475004, China;;4. College of Computer and Information Engineering, Henan University, Kaifeng 475004, China |
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| Abstract: | The Intermittent Frequency Modulation Continuous Wave (IFMCW) Synthetic Aperture Radar (SAR) mode solves the problem that the spaceborne Frequency Modulation Continuous Wave (FMCW) SAR must be bistatic by alternately transmitting and receiving signals in different time intervals. However, in this mode, the radar antenna will work intermittently in the transmitting and receiving state, resulting in periodical gaps in the echo data. In order to solve the above problems, a Missing-data Iterative Adaptive imaging processing Approach (MIAA) is proposed, based on Accumulated Aperture Interpolation Technique (AAIT) to recover the data gaps. Experimental results show that the proposed method can effectively recover missing data, thus improving significantly imaging quality and suppressing greatly the artifacts energy caused by the periodical data gaps. |
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| Keywords: | Synthetic Aperture Radar (SAR) Interrupted Frequency Modulation Continuous Wave (IFMCW) Artifacts Iterative Adaptive Approach (IAA) |
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