Research and implementation of automatic identification of signal modulation regime based on artificial neural network
Year: 2024
Type: conference-paper
Abstract: The identification of modulation regime of telemetry, remote sensing and communication signals is an important part of signal detection. In this paper, we extract the instantaneous features of signals through Hilbert transform, and construct eight feature parameters on this basis, and use artificial neural network classifier to realize the automatic identification of signal modulation regime. The experimental results show that the artificial neural network classifier has one higher recognition accuracy than the traditional method based on decision classification tree, which is especially suitable for offline analysis of signals after the fact.
Authors: Rui Gu, Bo Cong, Chengbin Zhou, Youxing Wu, Sifang Liu
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4409869007