Deep learning method for predicting electromagnetic emission spectrum of aerospace equipment

• Published in: IET science, measurement & technology Vol. 18; no. 4; pp. 193 - 201
• Main Author: Zhang, Yuting
• Format: Journal Article
• Language: English
• Published: Wiley 01.06.2024
• Subjects: aerospace testing; Bayes rule; data analysis; data decomposition; deep learning; electromagnetic compatibility; long short‐term memory; spectrum prediction

This paper proposes a deep learning method to predict the electromagnetic emission spectrum in the electromagnetic compatibility (EMC) test of aerospace products. A threshold‐based data decomposition method is used to propose the spike signal, reconstruct the original test data, and solve the contra...