Classification of airborne radar signals based on pulse feature estimation using time-frequency analysis

• Main Authors: Ahmad, Ashraf Adamu, Sha'ameri, Ahmad Zuri
• Format: Article
• Published: Science and Technology Research Institute for Defence 2015
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/58052/; https://www.researchgate.net/publication/283819076_Classification_of_airborne_radar_signals_based_on_pulse_feature_estimation_using_time-frequency_analysis

This paper describes the realization of an airborne radar signal type analysis and classification (ARTAC) system that uses spectrograms to obtain time-frequency representation ((t,f) representation) and then apply the related analysis tools, such as the instantaneous energy and frequency, and time-f...