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跳频脉冲ISAR成像运动补偿的最小波形熵方法 被引量:4
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作者 刘峥 张守宏 《西安电子科技大学学报》 EI CAS CSCD 北大核心 2000年第6期691-695,共5页
采用跳频脉冲信号作为逆合成孔径雷达 (ISAR)的宽带信号形式 ,并在此基础上提出了一种运动补偿新方法———最小波形熵参数估计法 .该方法将目标速度、加速度运动参数估计的二维搜索问题转化为两个一维搜索问题 ,使运算量大为减少 ,便... 采用跳频脉冲信号作为逆合成孔径雷达 (ISAR)的宽带信号形式 ,并在此基础上提出了一种运动补偿新方法———最小波形熵参数估计法 .该方法将目标速度、加速度运动参数估计的二维搜索问题转化为两个一维搜索问题 ,使运算量大为减少 ,便于实时处理 .计算机仿真结果表明该方法参数估计精度高 ,对噪声的影响具有一定的稳健性 。 展开更多
关键词 跳频脉冲 逆合成径雷达 运动补偿 最小波形熵
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Micro-motion effect in inverse synthetic aperture radar imaging of ballistic mid-course targets 被引量:4
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作者 邹飞 付耀文 姜卫东 《Journal of Central South University》 SCIE EI CAS 2012年第6期1548-1557,共10页
For ballistic mid-course targets,in addition to constant orbital motion,the target or any structure on the target undergoes micro-motion dynamics,such as spin,precession and tumbling.The micro-motion characteristics o... For ballistic mid-course targets,in addition to constant orbital motion,the target or any structure on the target undergoes micro-motion dynamics,such as spin,precession and tumbling.The micro-motion characteristics of the ballistic mid-course targets were discussed.The target motion model and inverse synthetic aperture radar(ISAR) imaging model for this kind of targets were built.Then,the influence of micro-motion on ISAR imaging based on the established imaging model was presented.The computer simulation to get mid-course target echoes from static darkroom electromagnetic scattering data based on the established target motion model was realized.The imaging results of computer simulation show the validity of ISAR imaging analysis for micro-motion targets. 展开更多
关键词 MICRO-MOTION ballistic mid-course targets inverse synthetic aperture radar imaging (ISAR)
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Inverse synthetic aperture radar imaging based on sparse signal processing 被引量:2
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作者 邹飞 黎湘 Roberto Togneri 《Journal of Central South University》 SCIE EI CAS 2011年第5期1609-1613,共5页
Based on the measurement model of inverse synthetic aperture radar (ISAR) within a small aspect sector,an imaging method was presented with the application of sparse signal processing.This method can form higher resol... Based on the measurement model of inverse synthetic aperture radar (ISAR) within a small aspect sector,an imaging method was presented with the application of sparse signal processing.This method can form higher resolution inverse synthetic aperture radar images from compensating incomplete measured data,and improves the clarity of the images and makes the feature structure much more clear,which is helpful for target recognition.The simulation results indicate that this method can provide clear ISAR images with high contrast under complex motion case. 展开更多
关键词 ISAR imaging sparse component analysis target recognition high resolution target image
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