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

Authors :
Ping Li
Song Bai
Ran Li
Xinhong Hao
Source :
2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP).
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

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.

Details

Database :
OpenAIRE
Journal :
2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP)
Accession number :
edsair.doi...........71e24073d8e0653f201585c6d4871bd7
Full Text :
https://doi.org/10.1109/icsidp47821.2019.9172904