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Volume 32 Issue 9
Oct.  2010
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Zhu Jie-Hao, Zhou Jian-Jiang, Wu Jie. Radar Target Recognition Based on Semiparametric Density Estimation[J]. Journal of Electronics & Information Technology, 2010, 32(9): 2161-2166. doi: 10.3724/SP.J.1146.2009.01204
Citation: Zhu Jie-Hao, Zhou Jian-Jiang, Wu Jie. Radar Target Recognition Based on Semiparametric Density Estimation[J]. Journal of Electronics & Information Technology, 2010, 32(9): 2161-2166. doi: 10.3724/SP.J.1146.2009.01204

Radar Target Recognition Based on Semiparametric Density Estimation

doi: 10.3724/SP.J.1146.2009.01204
  • Received Date: 2009-09-11
  • Rev Recd Date: 2009-12-04
  • Publish Date: 2010-09-19
  • Due to the density model selection problem of amplitudes in each range cells for radar target recognition using High-Resolution Range Profile (HRRP), a radar target recognition approach based on the semiparametric density estimation is proposed in this paper. Starting with the parametric density estimation, semiparametric method has the ability to make use of empirical knowledge which is known as the approximate Gamma distribution of amplitudes in each HRRP range cells, and the Gamma density estimate is then corrected by multiplying with a nonparametric estimation of a correction factor. Obviously, both advantages of parametric method and nonparametric method are merged in the semiparametric density estimation. Simulation results based on the HRRP dataset of five aircraft models demonstrate the effectiveness of the proposed approach.
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  • Xing Meng-dao, Bao Zheng, and Pei Bing-nan. Properties of high-resolution range profiles [J].Optical Engineering.2002, 41(2):493-504[2]刘宏伟, 杜兰, 袁莉等. 雷达高分辨距离像目标识别研究进展 [J].电子与信息学报.2005, 27(8):1328-1334浏览Liu Hong-wei, Du Lan, and Yuan Li, et al.. Progress in radar automatic target recognition based on high range resolution profile [J].Journal of Electronics Information Technology.2005, 27(8):1328-1334[3]Chen Bo, Liu Hong-wei, and Yuan Li, et al.. Adaptively segmenting angular sectors for radar HRRP automatic target recognition [J]. EURASIP Journal on Advances in Signal Processing, 2008, 2008(1): 1-6.[4]陈凤, 侯庆禹, 刘宏伟等. 一种新的雷达HRRP自适应划分角域建模方法 [J]. 西安电子科技大学学报, 2009, 36(3): 410-417.Chen Feng, Hou Qing-yu, and Liu Hong-wei, et al.. New adaptive angular-sector segmentation algorithm for radar ATR based on HRRP [J]. Journal of Xidian University, 2009, 36(3): 410-417.[5]Li Hsueh-jyh, Wang Yung-deh, and Wang Long-huai. Matching score properties between range profiles of high-resolution radar targets [J].IEEE Transactions on Antennas and Propagation.1996, 44(4):444-452[6]Zhu Feng, Zhang Xian-da, and Hu Ya-feng. Gabor filter approach to joint feature extraction and target recognition [J].IEEE Transactions on Aerospace and Electronic Systems.2009, 45(1):17-30[7]Van der Heiden R and Groen F C A. The box-cox metric for nearest neighbour classification improvement [J].Pattern Recognition.1997, 30(2):273-279[8]Jacobs S P. Automatic target recognition using high- resolution radar range profiles [D]. Washington: Washington University, 1999.[9]Webb A R. Gamma mixture models for target recognition [J].Pattern Recognition.2000, 33(12):2045-2054[10]Copsey K and Webb A. Bayesian gamma mixture model approach to radar target recognition [J].IEEE Transactions on Aerospace and Electronic Systems.2003, 39(4):1201-1217[11]Du Lan, Liu Hong-wei, and Bao Zheng, et al.. A two- distribution compounded statistical model for radar HRRP target recognition [J].IEEE Transactions on Signal Processing.2006, 54(6):2226-2238[12]Du Lan, Liu Hong-wei, and Bao Zheng. Radar HRRP statistical recognition: Parametric model and model selection [J].IEEE Transactions on Signal Processing.2008, 56(5):1931-1944[13]赵峰, 张军英, 刘敬等. 基于非参数化概率密度估计的雷达目标识别[J].电子与信息学报.2008, 30(7):1740-1743浏览Zhao Feng, Zhang Jun-ying, and Liu Jing, et al.. Radar target recognition based on nonparametric density estimation [J].Journal of Electronics Information Technology.2008, 30(7):1740-1743[14]Duda R O, Hart P E, and Stork D G著. 李宏东, 姚天翔译. 模式分类[M]. 北京: 机械工业出版社, 2003: 67-163.[15]Hjort N L and Glad I K. Nonparametric density estimation with a parametric Start [J].Annals of Statistics.1995, 23(3):882-904[16]Ghosh A K and Bandyopadhyay S. Adaptive smoothing in kernel discriminant analysis[J]. Journal of Nonparametric Statistics.2006, 18(2):181-197[17]Chaudhuri P, Ghosh A K, and Oja H. Classification based on hybridization of parametric and nonparametric classifiers [J].IEEE Transactions on Pattern Analysis and Machine Intelligence.2009, 31(7):1153-1164
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