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自旋尾翼弹头的双基地微多普勒研究
引用本文:邹小海*,艾小锋,李永祯,赵锋,肖顺平.自旋尾翼弹头的双基地微多普勒研究[J].电子与信息学报,2012,34(9):2122-2127.
作者姓名:邹小海*  艾小锋  李永祯  赵锋  肖顺平
作者单位:国防科技大学电子科学与工程学院长沙410073
基金项目:国家自然科学基金青年科学基金(61101180)资助课题
摘    要:微动特征是弹道中段目标雷达识别的有效特征之一。针对基于自旋尾翼弹头的双基地微多普勒的自旋和结构参数估计问题,该文首先建立了自旋尾翼弹头双基地散射中心的微多普勒模型,然后利用FEKO计算了尾翼弹头的双基地散射系数,通过对散射系数序列的时频分析,验证了模型的正确性,同时总结了自旋尾翼弹头的双基地微多普勒特性,再分析了估计自旋和结构参数的可行性,最后,由于闪烁效应导致Hough变换已不能有效估计参数,该文提出了利用闪烁效应估计参数的新思路。

关 键 词:双基地雷达    尾翼弹头    散射中心    微多普勒    时频分析
收稿时间:2012-01-16

Bistatic Micro-Doppler of the Spinning Warhead with Fins
Zou Xiao-hai Ai Xiao-feng Li Yong-zhen Zhao Feng Xiao Shun-ping.Bistatic Micro-Doppler of the Spinning Warhead with Fins[J].Journal of Electronics & Information Technology,2012,34(9):2122-2127.
Authors:Zou Xiao-hai Ai Xiao-feng Li Yong-zhen Zhao Feng Xiao Shun-ping
Affiliation:Zou Xiao-hai Ai Xiao-feng Li Yong-zhen Zhao Feng Xiao Shun-ping(School of Electronic Science and Engineering,National University of Defense Technology,Changsha 410073,China)
Abstract:Micro-motion feature is one of the effective features used for radar target recognition in the middle section of the ballistic curve.To solve the problem of estimating spinning and structural parameters based on the micro-Doppler of the spinning warhead with fins in bistatic radar,the micro-Doppler models of the scattering centers at the edge of fins and the conjunction of the fins and the body of warhead are derived when the warhead is spinning firstly.Then the bistatic scattering coefficients of the warhead model are calculated by using FEKO.The micro-Doppler models are verified from the time frequency analysis on the bistatic scattering coefficients,and the characteristics of the micro-Doppler are summarized.Thirdly,the feasibility of extracting spinning and structural parameters in bistatic radar is analysed.Finally,because Hough transform can not estimate the parameters because of the flashes,a new idea to extract the parameters using the flashes is proposed.
Keywords:Bistatic radar  Warhead with fins  Scattering center  Micro-Doppler  Time frequency analysis
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