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1. 太原卫星发射中心 太原,030027
2. 厦门大学 信息科学与技术学院 厦门,361005
收稿日期:2016-01-08,
修回日期:2016-03-07,
纸质出版日期:2016-06-25
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郝云胜, 叶艺山, 邓振淼等. FEKO稀疏微多普勒建模及CS重构方法[J]. 光学精密工程, 2016,24(6): 1482-1489
HAO Yun-sheng, YE Yi-shan, DENG Zhen-miao etc. FEKO sparse micro-doppler modeling and CS reconstruction method[J]. Editorial Office of Optics and Precision Engineering, 2016,24(6): 1482-1489
郝云胜, 叶艺山, 邓振淼等. FEKO稀疏微多普勒建模及CS重构方法[J]. 光学精密工程, 2016,24(6): 1482-1489 DOI: 10.3788/OPE.20162406.1482.
HAO Yun-sheng, YE Yi-shan, DENG Zhen-miao etc. FEKO sparse micro-doppler modeling and CS reconstruction method[J]. Editorial Office of Optics and Precision Engineering, 2016,24(6): 1482-1489 DOI: 10.3788/OPE.20162406.1482.
提出了利用压缩感知解微多普勒模糊的方法。由于目前雷达无法实现发射脉冲的随机性,采用电磁仿真软件FEKO来实现具有随机发射时刻的雷达回波模拟,用于算法验证。仿真过程中,考虑微动目标运动的复杂性,采用FEKO结合MATLAB的方式实现目标姿态的动态更新。首先由MATLAB计算出每个稀疏时刻目标的运动状态,然后把参数传递给FEKO,获得不同时刻对应的姿态角下目标的电磁散射数据,最后利用本文算法解出无模糊的微多普勒频率。对5种不同的微动模型进行仿真,仿真结果均与理论结果一致,由此验证了该算法的可行性和仿真模型的有效性。
The method of understanding and resolving the micro-Doppler was proposed. As the radar cannot achieve the randomness of the transmission pulse
and the electromagnetic simulation software FEKO was adopted to achieve the radar echo simulation with random emission time
and it was used for algorithm verification. In the progress of simulation
by considering about the complexity of the jogging target movement
the combination of FEKO and the MATLAB was adopted to realize the dynamic updating of the target's posture. Firstly
the motion state of each sparse moment target was to be calculated by MATLAB
then the parameters would be transmitted to the FEKO so as to obtain the electromagnetic scattering date under the corresponding attitude angle of different moments
at last
the micro-Doppler frequency without blurry would be worked out with the algorithms hereof. The simulation was executed to five different jogging models
and the simulation results have no difference with the theoretical results
therefore
the feasibility of the algorithm and the efficiency of the simulation model can be verified.
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袁菲. 线性调频雷达回波建模与仿真[D]. 成都:电子科技大学, 2012. YUAN F. LFM radar echo modeling and simulation[D].Chengdu:University of Electronic Science and Techonology of China,2012.(in Chinese)
郭鹏, 白亮, 武梦洁,等. 基于FEKO的雷达散射截面实时计算[J]. 航空科学技术, 2013(6):72-76. GUO P, BAI L, WU M J, et al.. Real-time RCS caculation based on FEKO[J]. Aeronautical Science & Technology,2013(6):72-76. DOI:10.3969/j.issn.1007-5453.2013.06.021.(in Chinese)
方重华, 宋东安, 王志雄. 利用hypermesh和FEKO软件来仿真舰艇RCS[J]. 装备环境工程, 2008, 5(5):61-64. FANG CH H, SONG D A, WANG ZH X. Simulation of RCS of ship by using FEKO and hypermesh[J]. Equipment Environmental Engineering, 2008, 5(5):61-64.(in Chinese)
陈德喜, 颜俐, 王海婴. FEKO软件的RCS仿真应用[J]. 舰船电子工程, 2008, 28(9):125-128,203. CHEN D X,YAN L,WANG H Y. Emulational application by the software FEKO in the radar cross section[J]. Ship Electronic Engineering, 2008, 28(9):125-128,203.(in Chinese)
赵雷鸣, 李德银, 刘昊. 基于FEKO软件仿真计算战斗机的RCS[J]. 计算技术与自动化, 2010, 29(4):93-96. ZHAO L M,LI D Y,LIU H. Simulation of RCS of battleplan by the software FEKO[J]. Computing Technology and Automation, 2010, 29(4):93-96. (in Chinese)
张智, 莫翠琼, 祝强. 基于FEKO的二维散射中心建模[J]. 航天电子对抗, 2011, 27(2):55-57. ZHANG ZH,MO C Q,ZHU Q. Modeling of 2-D scattering centers based on FEKO[J]. Aerospace Electronic Warfare,2011,27(2):55-57.(in Chinese)
吕杰, 莫锦军, 袁乃昌. 基于FEKO的微波成像研究[J]. 微波学报, 2010,(S1):598-600. LV J, MO J J, YUAN N C. Disquisition microwave imaging based on FEKO[J]. Journal of Microwaves,2010,(S1):598-600.(in Chinese)
邹小海, 艾小锋, 李永祯,等. 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(9):2122-2127. ZOU X H, AI X F, LI Y ZH,et al.. Bistatic micro-doppler of the spinning warhead with fins[J]. Journal of Electronics & Information Technology, 2012(9):2122-2127. (in Chinese)
邹小海, 艾小锋, 李永祯,等. 基于微多普勒的圆锥弹头进动与结构参数估计[J]. 电子与信息学报, 2011, 33(10):2413-2419. ZOU X H, AI X F, LI Y ZH,et al.. Precession and structural parameter estimation of the cone-shaped warhead based on the micro-doppler[J]. Journal of Electronics & Information Technology, 2011, 33(10):2413-2419. (in Chinese)
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