| 基于逆Radon变换的多散射点微动检测与测量 |
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| 引用本文： | 鄢宏华,傅雄军,栗苹,高梅国.基于逆Radon变换的多散射点微动检测与测量[J].北京理工大学学报,2012,32(5):526-530,539. |
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| 作者姓名： | 鄢宏华 傅雄军 栗苹 高梅国 |
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| 作者单位： | 北京理工大学雷达技术研究所,北京100081;北京理工大学机电工程与控制国家级重点实验室,北京100081;北京理工大学雷达技术研究所,北京,100081;北京理工大学机电工程与控制国家级重点实验室,北京,100081 |
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| 基金项目： | 国家"九七三"计划项目(613107) |
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| 摘 要： | 为将微动特性用于雷达目标识别,提出一种多散射点微动检测与测量算法.推导了典型微动对雷达回波调制的微多普勒,在此基础上,给出基于逆Radon变换的目标微动检测与测量原理;结合逐次消去法,研究了大动态范围下多散射点的微动检测与测量算法并给出相应的处理流程.定量仿真实验结果证明了该算法的有效性.
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| 关 键 词： | 微动 微多普勒 逆Radon变换 |
| 收稿时间： | 2011/1/22 0:00:00 |
Detection and Measurement to Multiple Scatterers with Micro-Motion Based on Inverse Radon Transform |
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| YAN Hong-hu,FU Xiong-jun,LI Ping and GAO Mei-guo.Detection and Measurement to Multiple Scatterers with Micro-Motion Based on Inverse Radon Transform[J].Journal of Beijing Institute of Technology(Natural Science Edition),2012,32(5):526-530,539. |
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| Authors: | YAN Hong-hu FU Xiong-jun LI Ping and GAO Mei-guo |
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| Institution: | Radar Research Laboratory, Beijing Institute of Technology, Beijing 100081, China;National Key Laboratory of Mechatronic Engineering and Control, Beijing Institute of Technology, Beijing 100081, China;Radar Research Laboratory, Beijing Institute of Technology, Beijing 100081, China;National Key Laboratory of Mechatronic Engineering and Control, Beijing Institute of Technology, Beijing 100081, China;Radar Research Laboratory, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | In order to utilize micro-motion characteristic of scatterers for radar target recognition, a detection and measurement algorithm to multiple scatterers with micro-motion is presented. Micro-Doppler has been derived which is induced by typical micro-motions. Then detection and measurement principle to target with micro-motion based on inverse Radon transform was given. To be applicable to large dynamic range, included with the clean technique, a detection and measurement algorithm to multiple scatterers with micro-motion was proposed and the corresponding process flow diagram was also given. Quantitative simulation results show the effectiveness of the proposed algorithm. |
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| Keywords: | micro-motion micro-Doppler inverse Radon transform |
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