基于多分辨率动态模态分解的电磁信号时频-能量分析

doi:10.12305/j.issn.1001-506X.2022.05.06

Abstract

Abstract:

Aiming at the incompatibility of time-frequency-space-energy analysis of electromagnetic signals, a data-driven method based on decomposing electromagnetic radiation signals in space-time domain is proposed to analyze complex electromagnetic environment. Firstly, the multi-resolution dynamic mode decomposition method is used to separate the complex electromagnetic signal into modal components of different temporal and spatial scales at different resolutions. Then, the instantaneous frequency and energy characteristics of each mode are collected by using time-frequency distribution. This dynamic decomposition analysis method can quickly detect various electromagnetic environment states of circuits and electronic systems. It does not need a priori data training, is not limited by time-frequency resolution, and can analyze and reduce the data dimension in real time. The extracted dynamic mode and its spectrum have clear physical significance in space domain and time domain respectively. Simulation results show that the average error between the reconstructed signal and the original signal is less than -18 dB, which proves the feasibility and advantages of the proposed method.

Key words: dynamic modal decomposition, multi-resolution, time-frequency-space-energy analysis, electromagnetic environment perception

CLC Number:

O441
TM937

Jianyong ZHENG, Guanghui WEI. Time-frequency-energy analysis of electromagnetic signals based on multi-resolution dynamic modal decomposition[J]. Systems Engineering and Electronics, 2022, 44(5): 1468-1474.

Figures/Tables 5

References 34

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Time-frequency-energy analysis of electromagnetic signals based on multi-resolution dynamic modal decomposition

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