AUTOMATIC RADAR SIGNAL RECOGNITION  USING THE ANALYTIC WAVELET TRANSFORM AND ALEXNET

Vũ Xuân Tùng

doi:10.34238/tnu-jst.10808

AUTOMATIC RADAR SIGNAL RECOGNITION USING THE ANALYTIC WAVELET TRANSFORM AND ALEXNET

About this article

Received: 23/07/24 Revised: 30/09/24 Published: 30/10/24

Authors

Vu Xuan Tung , Weapon Institute - Vietnam Defence Industry

Abstract

This paper proposes an alternative approach to radar signal modulation recognition using the combination of the analytic wavelet transform and the AlexNet network to improve accuracy and time training. The proposed algorithm includes two steps. The first step is used to extract signal features using wavelet analysis techniques in both time-frequency domains. The second step uses the AlexNet network to identify the above signals. The algorithm's effectiveness is evaluated by using simulated radar signals in a MATLAB environment. In addition, the proposed method is evaluated in two stages. The first stage involves analyzing wavelet functions such as Morse, Cauchy and Bessel on effectiveness of the proposed method. The simulation results showed that the Morse wavelet function provided the highest accuracy in comparison with Cauchy and Bessel. The second stage provides comparisons with other networks such as GoogleNet, ResNet, and VGG-16. Simulation results show that the proposed algorithm has the highest recognition accuracy (85%), while other methods are lower than 80%, and the network training time is reduced ½ in comparison with other networks.

Keywords

Radar signals; Recognition accuracy; Analytic Wavelet transform; Feature extraction; Confusion matrix

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DOI: https://doi.org/10.34238/tnu-jst.10808

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