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弹道中段多目标微多普勒分离方法
引用本文:王义哲,冯存前,李靖卿,孟凡杰.弹道中段多目标微多普勒分离方法[J].北京航空航天大学学报,2017,43(1):113-120.
作者姓名:王义哲  冯存前  李靖卿  孟凡杰
作者单位:空军工程大学防空反导学院,西安,710051;空军工程大学防空反导学院,西安710051;信息感知技术协同创新中心,西安710077
基金项目:国家自然科学基金,陕西省自然科学基础研究计划(2014JM8308)National Natural Science Foundation of China,Natural Science Basic Research Plan in Shaanxi Province of China
摘    要:针对窄带雷达获取的多目标回波中微多普勒信息相互交叠、难以分离与提取的问题,提出了一种基于拍卖算法和小波分析相结合的多目标微多普勒分离方法。在滑动散射模型的基础上,首先通过对回波信号进行预处理得到时频骨架,再根据弹道目标多普勒的变化规律及估计的进动周期定义路径长度,利用拍卖算法提取出多条多普勒曲线对应的最短路径,最后采用小波分析法消除多普勒曲线中的剩余平动分量,实现了多目标微多普勒的分离。仿真结果表明,该方法能够较好地解决交叉区域的路径选择问题,且抗噪性较好,适用于多种微动形式。

关 键 词:多目标分离  弹道目标  微多普勒  拍卖算法  小波分析
收稿时间:2016-01-11

Micro-Doppler resolution of multi-ballistic targets in midcourse
WANG Yizhe,FENG Cunqian,LI Jingqing,MENG Fanjie.Micro-Doppler resolution of multi-ballistic targets in midcourse[J].Journal of Beijing University of Aeronautics and Astronautics,2017,43(1):113-120.
Authors:WANG Yizhe  FENG Cunqian  LI Jingqing  MENG Fanjie
Abstract:To solve the problems of overlapping and difficult separation of micro-Doppler information of multi-ballistic target echo in narrow-band radar, a novel method based on auction algorithm and wavelet analysis is proposed to separate micro-Doppler of multi-ballistic targets. First, based on the sliding scattering model, the time-frequency skeleton is obtained by preprocessing. Then, the path length is defined by variation rules of Doppler and estimated precession period. The shortest paths corresponding to Doppler curves are extracted by auction algorithm. Finally, micro-Doppler resolution of multi-ballistic targets is realized after translational motion compensation by wavelet analysis. Simulation results indicate that the method can solve path selection problems well in intersection region, and is suitable for various forms of micro-motion.
Keywords:multi-ballistic targets resolution  ballistic targets  micro-Doppler  auction algorithm  wavelet analysis
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