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Analysis of micro-Doppler signatures of vibration targets using EMD and SPWVD

机译:使用EMD和SPWVD分析振动目标的微多普勒信号

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摘要

In the micro-Doppler signature analysis of vibration targets, the joint time-frequency methods can provide useful information for target detection, classification, and recognition. In this paper, we proposed a procedure which combines both Empirical Mode Decomposition (EMD) and Smoothed Pseudo Wigner-Ville Distribution (SPWVD) techniques for the micro-Doppler analysis. The Ensemble Empirical Mode Decomposition (EEMD) based method was also proposed to address the problem of mode mixing which may occur in EMD procedure. The simulation results showed that, compared with the traditional Cohen's class time-frequency method (SPWVD), the method we proposed achieved much better performance under three different conditions (severe noise, weak modulation and compound vibrations). (C) 2015 Elsevier B.V. All rights reserved.
机译:在振动目标的微多普勒签名分析中,联合时频方法可以为目标检测,分类和识别提供有用的信息。在本文中,我们提出了一种结合经验模式分解(EMD)和平滑伪Wigner-Ville分布(SPWVD)技术进行微多普勒分析的程序。还提出了基于整体经验模式分解(EEMD)的方法来解决EMD过程中可能发生的模式混合问题。仿真结果表明,与传统的Cohen类时频方法(SPWVD)相比,我们提出的方法在三种不同条件(严重噪声,弱调制和复合振动)下获得了更好的性能。 (C)2015 Elsevier B.V.保留所有权利。

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