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引用本文:邓昊,汪玲,杨娜,肖卓. 幅度和相位估计的ISAR超分辨成像方法[J]. 雷达科学与技术, 2018, 16(4): 351-358.[点击复制]
DENG Hao, WANG Ling, YANG Na, XIAO Zhuo. ISAR Super-Resolution Imagery Using Amplitude and Phase Estimation [J]. Radar Science and Technology, 2018, 16(4): 351-358.[点击复制]
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幅度和相位估计的ISAR超分辨成像方法
邓昊,汪玲,杨娜,肖卓
1.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, 江苏南京211100;2.中国人民解放军96764部队, 河南洛阳471000
摘要:
传统距离多普勒(Range Doppler, RD)成像方法分辨率取决于发射信号的带宽和信号在方位向积累的多普勒带宽。超分辨成像可以在给定带宽条件下,获得比RD方法更优的分辨率。给出一种基于幅度和相位估计(Amplitude and Phase Estimation, APES)的逆合成孔径雷达(Inverse Synthetic Aperture Radar, ISAR)超分辨成像方法,该方法根据回波数据构造自适应滤波器对目标散射点进行重建,仿真和实测ISAR数据成像结果验证了基于APES的ISAR超分辨成像算法的有效性。相比其他超分辨成像方法,该方法重建的散射点幅度更为精确,副瓣更低,图像对比度和图像信噪比增加,整体成像效果较佳。
关键词:  逆合成孔径雷达  成像  超分辨  幅度和相位估计  旁瓣抑制
DOI:10.3969/j.issn.1672-2337.2018.04.001
分类号:TN951; TN958
基金项目:研究生创新基地(实验室)开放基金(No.kfjj20160402); 中央高校基本科研业务费专项资金资助课题
ISAR Super-Resolution Imagery Using Amplitude and Phase Estimation
DENG Hao, WANG Ling, YANG Na, XIAO Zhuo
1.Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, China;2.Unit 96764 of PLA, Luoyang 471000, China
Abstract:
The resolution of traditional range Doppler (RD) algorithm depends on the bandwidth of the transmitted signal and the Doppler bandwidth in the cross range. Super resolution imaging can obtain a better resolution than the RD algorithm for the same bandwidth. In this paper, we present a super resolution imaging algorithm for inverse synthetic aperture radar (ISAR) using the amplitude and phase estimation (APES) technique. An adaptive filter is constructed to reconstruct the scatterers. The imaging results of the simulated data and real ISAR data verify the effectiveness of this new APES-based ISAR imaging algorithm. Compared with other super resolution algorithms, the proposed algorithm is able to reconstruct the amplitudes of the scatterers with higher accuracy and lower sidelobe. The image contrast and signal and noise ratio (SNR) of the image are also increased, resulting in good image quality.
Key words:  inverse synthetic aperture radar (ISAR)  imaging  super-resolution  amplitude and phase estimation (APES)  sidelobe suppression

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