OFD-LFM MIMO雷达中旋转目标微多普勒效应分析及三维微动特征提取

罗迎; 张群; 封同安; 李松; 梁贤姣

doi:10.3724/SP.J.1146.2010.00234

OFD-LFM MIMO雷达中旋转目标微多普勒效应分析及三维微动特征提取

doi: 10.3724/SP.J.1146.2010.00234

基金项目:

国家自然科学基金(60971100)资助课题

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出版历程
- 收稿日期: 2010-03-12
- 修回日期: 2010-06-15
- 刊出日期: 2011-01-19

Micro-Doppler Effect Analysis of Rotating Target and Three-dimensional Micro-motion Feature Extraction in OFD-LFM MIMO Radar

摘要

摘要: 该文将微多普勒效应引入到多输入多输出(MIMO)雷达技术研究，以旋转运动目标为例，分析了雷达辐射正交频分线性调频信号(OFD-LFM)时目标的微多普勒效应，给出了其参数化表达。在此基础上，进一步将微多普勒理论从目前的雷达视线方向上的微动分量提取扩展到微动部件3维运动和结构特征提取，利用MIMO雷达的多视角特性，提出了构建多元非线性方程组求解旋转部件的3维运动参数的算法，实现了目标3维微动特征的提取。仿真实验验证了算法的有效性和鲁棒性。
- 多输入多输出雷达 /
- 微多普勒 /
- 旋转目标 /
- 目标识别
Abstract: The micro-Doppler (m-D) effect is introduced for the Multi-Input Multi-Output (MIMO) radar techniques in the paper. Taking rotating target for an example, the m-D effect is analyzed and the parameterized expression is deduced in MIMO radar which transmits OFD-LFM (Orthogonal Frequency Division Linear Frequency Modulation) signals. An algorithm for three-dimensional micro-motion feature extraction is proposed, which extends the m-D signature extraction from the micro-motion projection in Line-Of-Sight (LOS) to the three-dimensional micro-motion feature. By taking advantage of the multi-view of MIMO radar, the three-dimensional micro-motion features are obtained by solving nonlinear multivariable equation systems. Simulation results validate the effectiveness and robustness of the algorithm.
- MIMO radar /
- micro-Doppler (m-D) /
- Rotating target /
- Target recognition

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参考文献(1)

Fishler E, Haimovich A, and Blum R, et al.. MIMO radar: an idea whose time has come [C]. Proceeding of the IEEE Radar Conference, Philadelphia, PA, 2004: 71-78.[2]何子述，韩春林，刘波. MIMO雷达概念及其技术特点分析[J]. 电子学报，2005, 33(12A): 2441-2445.He Zi-shu, Han Chun-lin, and Liu Bo. MIMO radar and its technical characteristic analyses [J]. Acta Electronica Sinica, 2005, 33(12A): 2441-2445.[3]汤俊，伍勇，彭应宁，等. MIMO雷达检测性能和系统配置研究[J]. 中国科学F辑: 信息科学, 2009, 39(7): 776-781.[4]韩兴斌，胡卫东，郁文贤，等. 分布式多通道雷达成像技术[J].电子与信息学报.2007, 29(10):2354-2358浏览Han Xing-bin, Hu Wei-dong, and Yu Wen-xian, et al.. An imaging technique based on distributed multi-channel radars [J]. Journal of Electronics and Information Technology, 2007, 29(10): 2354-2358.[5]朱宇涛，郁文贤，粟毅. 一种基于MIMO技术的ISAR成像方法[J]. 电子学报, 2009, 37(9): 1885-1894.Zhu Yu-tao, Yu Wen-xian, and Su Yi. An ISAR imaging method based on MIMO technique [J]. Acta Electronica Sinica, 2009, 37(9): 1885-1894.[6]段广青，王党卫，马晓岩. MIMO雷达三维成像方法研究[J]. 空军雷达学院学报, 2009, 23(3): 171-174.Duan Guang-qing, Wang Dang-wei, and Ma Xiao-yan. Study on the approach of 3D imaging for MIMO radar systems [J]. Journal of Air Force Radar Academy, 2009, 23(3): 171-174.[7]Chen V C, Li F, and Ho S S, et al.. Micro-Doppler effect in radar: phenomenon, model and simulation study [J].IEEE Transactions on Aerospace and Electronic Systems.2006, 42(1):2-21[8]庄钊文, 刘永祥, 黎湘. 目标微动特性研究进展[J]. 电子学报, 2007, 35(3): 520-525.Zhuang Zhao-wen, Liu Yong-xiang, and Li Xiang. The achievements of target characteristic with micro-motion [J]. Acta Electronica Sinica, 2007, 35(3): 520-525.[9]Bai Xue-ru, Xing Meng-dao, and Zhou Feng, et al.. Imaging of micromotion targets with rotating parts based on empirical-mode decomposition [J].IEEE Transactions on Geoscience and Remote Sensing.2008, 46(11):3514-3523[10]白雪茹，周峰，刑孟道，等. 空中微动旋转目标的二维ISAR成像算法[J]. 电子学报, 2009, 37(9): 1937-1943.Bai Xue-ru, Zhou Feng, and Xing Meng-dao, et al.. 2D ISAR imaging algorithm for air micro-motion targets [J]. Acta Electronica Sinica, 2009, 37(9): 1937-1943.[11]张群，罗斌凤，管桦，等. 基于微Doppler提取的具有旋转部件雷达目标成像[J]. 自然科学进展, 2007, 17(10): 1410-1417.

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