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基于低秩汉克尔矩阵重构技术的星载间断调频连续波SAR成像方法
引用本文:闵林,刘向前,郝晓龙,郭拯危,李宁.基于低秩汉克尔矩阵重构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,2023,45(4):1285-1292.
作者姓名:闵林  刘向前  郝晓龙  郭拯危  李宁
作者单位:1.河南大学计算机与信息工程学院 开封 4750042.河南大学河南省智能技术与应用工程技术研究中心 开封 4750043.河南大学河南省大数据分析与处理重点实验室 开封 4750044.北京跟踪与通信技术研究所 北京 100094
基金项目:国家自然科学基金(61871175),河南省自然科学基金(222300420115)
摘    要:间断调频连续波(IFMCW)合成孔径雷达(SAR)是一种新型的集轻量化、低成本和低功耗于一体的新型SAR系统。该系统采用单根天线发射和接收信号,颠覆了传统的调频连续波(FMCW) SAR系统设计理念。在该模式下,由于发射机工作时接收机关闭,导致合成孔径中出现周期性的间隔,采用传统成像算法进行成像,在聚焦SAR图像中将会出现周期性的虚假目标。为了有效地抑制虚假目标,该文基于子孔径回波数据,提出一种新的成像算法,即基于子孔径投影的低秩汉克尔矩阵重构技术(LHRTSP)。实验结果表明与现有方法相比,所提方法对虚假目标的抑制效果更佳,验证了所提方法的有效性。

关 键 词:合成孔径雷达  间断调频连续波  虚假目标  低秩汉克尔矩阵
收稿时间:2022-03-29

Spaceborne Interrupted Frequency Modulate Continuous Wave SAR Imaging Based on Low-Rank Hankel Matrix Reconstruction Technique
MIN Lin,LIU Xiangqian,HAO Xiaolong,GUO Zhengwei,LI Ning.Spaceborne Interrupted Frequency Modulate Continuous Wave SAR Imaging Based on Low-Rank Hankel Matrix Reconstruction Technique[J].Journal of Electronics & Information Technology,2023,45(4):1285-1292.
Authors:MIN Lin  LIU Xiangqian  HAO Xiaolong  GUO Zhengwei  LI Ning
Affiliation:1.College of Computer and Information Engineering, Henan University, Kaifeng 475004, China2.Henan Engineering Research Center of Intelligent Technology and Application, Henan University, Kaifeng 475004, China3.Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng 475004, China4.Beijing Institute of Tracking Telemetry and Telecommunication, Beijing 100094, China
Abstract:The Interrupted Frequency Modulated Continuous Wave (IFMCW) Synthetic Aperture Radar (SAR) is a novel type of SAR system,which has the advantages of light weight, low cost, and low power consumption. The system subverts the design concept of the traditional Frequency Modulated Continuous Wave (FMCW) SAR system, which use a single antenna to transmit and receive signals.In this system, the transmitter and receiver operate at different time intervals, resulting in periodic gaps in the synthetic aperture. When the received echo data is imaged using traditional imaging algorithms, the artifacts will appear in the focused SAR image. In order to suppress effectively the appearance of artifacts, this paper proposes a new imaging algorithm for subaperture echo data processing, which is called Low-rank Hankel matrix Reconstruction Technique based on Subaperture Projection (LHRTSP). The experimental results show that the proposed method has better suppression effect on artifacts compared with the existing methods, which verifies the effectiveness and superiority of the proposed method.
Keywords:
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