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多极化前向散射RCS分析及其对目标分类识别的影响

李晓良 胡程 曾涛

李晓良, 胡程, 曾涛. 多极化前向散射RCS分析及其对目标分类识别的影响[J]. 电子与信息学报, 2010, 32(9): 2191-2196. doi: 10.3724/SP.J.1146.2009.01233
引用本文: 李晓良, 胡程, 曾涛. 多极化前向散射RCS分析及其对目标分类识别的影响[J]. 电子与信息学报, 2010, 32(9): 2191-2196. doi: 10.3724/SP.J.1146.2009.01233
Li Xiao-Liang, Hu Cheng, Zeng Tao. The Analysis of Multi-polarization Forward Scattering RCS and the Effect on Target Classification and Identification[J]. Journal of Electronics & Information Technology, 2010, 32(9): 2191-2196. doi: 10.3724/SP.J.1146.2009.01233
Citation: Li Xiao-Liang, Hu Cheng, Zeng Tao. The Analysis of Multi-polarization Forward Scattering RCS and the Effect on Target Classification and Identification[J]. Journal of Electronics & Information Technology, 2010, 32(9): 2191-2196. doi: 10.3724/SP.J.1146.2009.01233

多极化前向散射RCS分析及其对目标分类识别的影响

doi: 10.3724/SP.J.1146.2009.01233
基金项目: 

国家自然科学基金重大项目(60890073, 60890071-17)资助课题

The Analysis of Multi-polarization Forward Scattering RCS and the Effect on Target Classification and Identification

  • 摘要: 在前向散射情况下,基于阴影逆合成孔径雷达(SISAR)成像原理可以获得运动目标的轮廓像,从而对运动目标进行分类与识别。为了研究多极化对前向散射雷达运动目标识别的影响,该文根据前向散射阴影逆合成孔径原理,建立了目标前向散射雷达截面积(RCS)与目标轮廓像谱信息之间的联系,首次将多极化引入到前向散射目标的分类识别中;并借助电磁仿真软件CST,仿真得到了多极化条件下目标的前向散射RCS曲线。通过分析仿真结果发现同一个目标在不同极化情况下具有不同的前向散射RCS旁瓣曲线,此种差异对应于目标轮廓像的差异;联合多极化产生的前向散射RCS旁瓣差异可以获得更多关于目标轮廓的特征信息。仿真结果验证了多极化能够提高前向散射目标分类识别的能力。
  • Chapurskiy V V and Sablin V N. SISAR: Shadow Inverse Synthetic Aperture Radiolocation. The Record of the IEEE 2000 International Radar Conference, Alexandria, Virginia, 2000: 322-328.[2]Abdullah R S A R and Cherniakov M. Forward scattering radar for vehicles classification. Vehcom Int1 Conf., VehCom2003, Birmingham, UK, 2003: 73-78.[3]Cherniakov M, Abdullah R S A R, and Jancovic P, et al.. Automatic ground target classification using forward scattering radar[J].IEE Proceedings: Radar, Sonar and Navigation.2006, 153(5):427-437[4]Cherniakov M, Abdullah R S A R, and Jancovic P, et al.. Forward scattering micro sensor for vehicle classification. IEEE International Radar Conference, Arlington, Virginia, 2005: 184-189.Cherniakov M, Salous M, and Abdullah R S A R, et al.. Forward scattering radar for ground targets detection and recognition. 2nd EMRS DTC Technical Conference, Edinburgh, 2005: A14-A19.[5]Sizov V, Hu Cheng, and Antoniou M, et al.. Vegetation clutter spectral properties in vhf/uhf bistatic doppler radar. IEEE Radar Conf 2008. Rome Italy, 2008: 1466-1471.[6]Zeng Hai-bin, Hu Cheng, and Li Tao. The signal to noise ratio analysis of ground forward scattering radar. IET Radar Conf 2009, Guilin, 2009: 1-4.[7]Long Teng, Hu Cheng, and Cherniakov M. Ground moving target signal model and power calculation in forward scattering micro radar. Science in China Series F: Information Sciences, 2009, 52(9): doi: 10.1007/s11432-009- 0154-1.[8]Hu Cheng, Antoniou M, and Cherniakov M, et al.. Quasi- optimal signal processing in ground forward scattering radar. IEEE Radar Conf 2008. Rome Italy, 2008: 2044-2049.[9]Hu Cheng.[J].Long Teng, and Cherniakov M, et al.. Forward scattering micro radars for situation awareness. APSAR Conference, Xian China, Oct. 26-2.2009,:-胡程. 短基线前向散射雷达系统理论与信号处理方法研究.[博士论文], 北京理工大学, 2009.Hu Cheng. Research on system theory and signal processing method in short baseline forward scattering radar. [Ph.D. dissertation], Beijing Institute of Technology, 2009.[10]罗斌凤, 张冠杰, 张守宏. SISAR中运动目标全息信号的表示及仿真研究[J].电子与信息学报.2003, 25(10):1316-1320浏览Luo Bin-feng, Zhang Guan-jie, and Zhang Shou-hong. The expression and simulation of radio holographic signal for the moving object in SISAR [J]. Journal of Electronics and Information Technology, 2003, 25(10): 1316-1320.[11]Abdullah R S A R. Forward scattering radar for vehicle classification. [Ph.D. dissertation]. The University of Birmingham, 2005.[12]Glaser J I. Bistatic RCS of complex objects near forward scatter[J].IEEE Transactions on Aerospace and Electronic Systems.1985, AES-21(1):70-78
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出版历程
  • 收稿日期:  2009-09-18
  • 修回日期:  2009-12-29
  • 刊出日期:  2010-09-19

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