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基于chirplet的弹道目标逆合成孔径雷达回波分解
引用本文:金光虎,高勋章,黎湘,陈永光.基于chirplet的弹道目标逆合成孔径雷达回波分解[J].电子与信息学报,2010,32(10):2353-2358.
作者姓名:金光虎  高勋章  黎湘  陈永光
作者单位:1. 国防科技大学电子科学与工程学院,长沙,410073
2. 中国人民解放军63880部队,洛阳,471003
基金项目:国家自然科学基金(60872134;60402032)资助课题 
摘    要:尾附体回波分量的分离是改善弹道目标主体ISAR成像质量的关键.该文建立了主体和尾附体的LFM回波模型,构建了慢时间域单频信号回波,分析了主体和尾附体的瞬时多普勒差异,提出了一种基于chirplet的慢时间域分解方法,将主体回波分解为若干线性调频信号,并重构了主体及尾附体回波,给出了具体实现步骤,仿真实验结果表明,ISAR成像质量较分离前有显著提高.

关 键 词:进动  自旋  多普勒差异
收稿时间:2009-08-28

Inverse Synthetic Aperture Radar Echo Decomposition of Ballistic Target Based on Chirplet
Jin Guang-hu,Gao Xun-zhang,Li Xiang,Chen Yong-guang.Inverse Synthetic Aperture Radar Echo Decomposition of Ballistic Target Based on Chirplet[J].Journal of Electronics & Information Technology,2010,32(10):2353-2358.
Authors:Jin Guang-hu  Gao Xun-zhang  Li Xiang  Chen Yong-guang
Affiliation:(School of Electronics Science and Engineering, National University of Defense Technology, Changsha 410073, China)
(Unit 63880, PLA, Luoyang 471003, China)
Abstract:The radar echo separation of appendix part is the key for improving ISAR image of ballistic target. This paper establishes the echo model of ballistic target. And the Doppler difference of body and appendix part is analyzed. A new decomposition in slow-time domain is proposed. The body echo is decomposed into several LFM signal components. The echo of body and appendix is reconstructed. Explicit procedure is given. Simulation result shows that the ISAR image is much better compared to the image based on original data.
Keywords:ISAR  Chirplet
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