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基于欠定盲分离的多目标微多普勒特征提取

郭琨毅, 张永丽, 盛新庆, 沈蓉辉, 金从军

郭琨毅, 张永丽, 盛新庆, 沈蓉辉, 金从军. 基于欠定盲分离的多目标微多普勒特征提取[J]. 电波科学学报, 2012, 27(4): 691-695,759.
引用格式: 郭琨毅, 张永丽, 盛新庆, 沈蓉辉, 金从军. 基于欠定盲分离的多目标微多普勒特征提取[J]. 电波科学学报, 2012, 27(4): 691-695,759.
shu
GUO Kunyi, ZHANG Yongli, SHENG Xinqing, SHEN Ronghui, JIN Congjun. An approach for extracting independent micro-Doppler characteristics of multiple targets based on underdetermined blind source separation[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2012, 27(4): 691-695,759.
Reference format: GUO Kunyi, ZHANG Yongli, SHENG Xinqing, SHEN Ronghui, JIN Congjun. An approach for extracting independent micro-Doppler characteristics of multiple targets based on underdetermined blind source separation[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2012, 27(4): 691-695,759.
shu

基于欠定盲分离的多目标微多普勒特征提取

  • 1.

    北京理工大学信息与电子学院电磁仿真中心, 北京 100081

  • 2. 航天系统仿真重点实验室, 北京 100854

详细信息
    作者简介:

    郭琨毅,(1976-),女,河北人,北京理工大学副研究员。研究方向为目标特性、微波成像等;盛新庆,(1968-),男,安徽人。北京理工大学教授,博士生导师。主要从事计算电磁学、目标电磁特性、微波成像及遥感、天线理论及设计等方面的研究。2001年度中国科学院"百人计划"入选者。2004年度教育部长江学者特聘教授。专著一本《计算电磁学要论》,列入当代杰出青年科学文库,共发表论文200余篇,其中SCI论文50余篇,EI论文100余篇。负责完成过多项国防预研、国家自然科学基金、863、国防科技重点实验室等课题。

    通信作者:

    盛新庆 E-mail:xsheng@bit.edu.cn

  • 中图分类号: TN958.94

An approach for extracting independent micro-Doppler characteristics of multiple targets based on underdetermined blind source separation

  • 1.

    Center for Electromagnetic Simulation, School of Information and Electronics Engineering, Beijing Institute of Technology, Beijing 100081, China

  • 2. Science and Technology on Special System Simulation Laboratory, Beijing 1000854, China

摘要

    摘要
  • 摘要: 连续波雷达多目标回波中多种微多普勒特征分离问题采用独立成分分析方法实现,该方法在使用中存在较大局限性,要求待分离的微多普勒特征之间必须是统计独立的,且仅局限于恰定和超定的方程组求解问题。然而,在多目标雷达观测场景下,雷达接收的混叠回波的个数通常少于目标的个数,各目标的微多普勒特征可能存在相关性。为此,提出了一种基于欠定盲分离的多目标回波微多普勒特征分离方法。该方法可以从少数原始混叠回波中分离出多个目标的微多普勒特征,对待分离的微多普勒特征限制性弱。通过数值仿真,证实了该方法的可行性。
    Abstract: Nowadays the existing approach to extract various micro Doppler characteristics from backscattered signals by multi-targets usually employ blind source separation technique based on independent component analysis.However,this approach has a great limitation in real application.First,micro Doppler characteristics to be separated must be statistically independent; second, independent component analysis method is generally limited to the conditions of exact determined or over determined equations.Under the radar scene with multiple targets, the number of radar signal receivers is commonly less than the number of targets, as well as the micro Doppler characteristics may not satisfy the independent condition, which makes micro Doppler characteristics extraction more difficult.In order to solve these problems, an approach based on underdetermined blind source separation method is pro-posed in this paper.The approach not only work well for the situation that the number of received radar signals is less than that of targets,but also has fewer limitations in the micro Doppler characteristic to be separated.The simulation presented in this paper validates the proposed extraction approach.
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    • 参考文献(12)
  • CHEN V C, LI F, 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.
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    关永胜, 左群声, 刘宏伟. 基于微多普勒特征的空间椎体目标识别[J]. 电波科学学报, 2011, 26(2):209-215. GUAN Yongsheng, ZUO Qunsheng, LIU Hongwei. Micro-Doppler signature based on cone-shaped target recognition[J]. Chinese Journal of Radar Science, 2011, 26(2):209-215. (in Chinese)
    高红卫,谢良贵,文树梁. 基于微多普勒特征的真假目标雷达识别研究[J].电波科学学报, 2008, 23(4):16-20. GAO Hongwei, XIE Lianggui, WEN Shuliang. Research on radar identification of ballistic missile warhead and decoys based on micro-Doppler signature[J]. Chinese Journal of Radio Science, 2008, 23(4):16-20.(in Chinese)
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    陈珺, 闫述, 李正斌, 等.联合时频分析在电磁测深问题中的应用[J]. 电波科学学报, 2003, 18(4):393-399. CHENG Jun, YAN Shu, LI Zhengbin, et al. Applications of joint time-frequency analysis methods in the geologic sounding[J]. Chinese Journal of Radio Science, 2003, 18(4):393-399. (in Chinese)
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出版历程
  • 收稿日期:  2011-08-14
  • 网络出版日期:  2020-12-30
  • 发布日期:  2012-08-30

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