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...
Saved in:
Main Authors: | Ahmad, Ashraf Adamu, Sha'ameri, Ahmad Zuri |
---|---|
Format: | Article |
Published: |
Science and Technology Research Institute for Defence
2015
|
Subjects: | |
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analysis and classification of airborne radar signal types using time-frequency analysis
by: Ahmad, A. A., et al.
Published: (2015) -
Analysis and classification of airborne radar signal types using time-frequency analysis
by: Ahmad, Ashraf Adamu
Published: (2014) -
Spectogram time-frequency analysis and signal classification of digital modulation signals
by: Sha'ameri, Ahmad Zuri, et al.
Published: (2007) -
Inter-pulse parameter estimation and recognition for radar warning receiver
by: Sha’ameri, Ahmad Zuri, et al.
Published: (2020) -
A robust parameter estimation of FHSS signals using time-frequency analysis in a non-cooperative environment
by: Kanaa, Abdulrahman, et al.
Published: (2018)