首页> 外文会议>IEEE International Conference on Signal, Information and Data Processing >The Micro-Doppler Features Extraction of Experimental Data of Chaff Cloud Scatter Dispersion Based on Empirical Mode Decomposition
【24h】

The Micro-Doppler Features Extraction of Experimental Data of Chaff Cloud Scatter Dispersion Based on Empirical Mode Decomposition

机译:基于经验模态分解的Chaff云散射色散实验数据的微多普勒特征提取

获取原文

摘要

This article studies the micro- Doppler characteristics of chaff cloud scatter based on the chaff filaments dispersion experiments. This paper highlights the extraction method of micro-Doppler features using the Empirical Mode Decomposition method incorporated with time-frequency analysis method. In order to extract the characteristics, the scattering signal is decomposed into a set of intrinsic-mode functions that are represented at different scales. The components are then reconstructed and analyzed by adopting the Short-Time Fourier Transform. After the separation of the Doppler frequency of the unexpanded chaff cluster radar return, the micro-Doppler frequency and micro- motion parameters of chaff filaments are estimated. The results of the experiment show that this extraction method has been successfully adopted to obtain the micro- Doppler features of chaff filaments. And a conclusion has been proved that the period of micro-Doppler frequency is determined by the period of chaff filaments vibration.
机译:本文基于谷壳纤维细丝分散实验研究了谷壳云散射的微多普勒特性。本文着重介绍了结合经验模式分解方法和时频分析方法的微多普勒特征提取方法。为了提取特征,散射信号被分解为以不同比例表示的一组固有模式函数。然后通过采用短时傅立叶变换来重构和分析组件。在分离未展开的谷壳簇雷达回波的多普勒频率之后,对谷壳细丝的微多普勒频率和微运动参数进行估算。实验结果表明,该提取方法已成功地用于获得谷壳细丝的微多普勒特征。并得出结论,微多普勒频率的周期是由谷壳细丝的振动周期决定的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号