Analysis and classification of airborne radar signal types using time-frequency analysis
An electronic warfare support measure system is used by the military for intelligence gathering, threat detection, and as a support to electronic attack system. Its main feature is to determine the frequency parameters and pulse characteristics of the received radar signal. The estimated signal para...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Thesis |
| 出版: |
2014
|
| 主題: | |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| id |
my-utm-ep.48344 |
|---|---|
| record_format |
uketd_dc |
| spelling |
my-utm-ep.483442017-07-27T02:37:06Z Analysis and classification of airborne radar signal types using time-frequency analysis 2014 Ahmad, Ashraf Adamu TK Electrical engineering. Electronics Nuclear engineering An electronic warfare support measure system is used by the military for intelligence gathering, threat detection, and as a support to electronic attack system. Its main feature is to determine the frequency parameters and pulse characteristics of the received radar signal. The estimated signal parameters are then used as input to a classifier network to determine the identity of the received signal. This project describes airborne radar type analysis and classification (ARTAC) system that uses the spectrogram to obtain the time-frequency representation (TFR) and apply analysis tools such as the instantaneous energy, instantaneous frequency and other related tools to estimate various signal parameters. The estimated parameters are used as input to the rule-based classifier which classifies the signal appropriately. Monte-Carlo simulation is then carried out to estimate the accuracy of signal classification at various signal-to-noise ratios (SNRs) in additive white Gaussian noise (AWGN). The proposed system achieves 90 percent classification accuracy at minimum SNR of 6.2dB 2014 Thesis http://eprints.utm.my/id/eprint/48344/ masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering |
| institution |
Universiti Teknologi Malaysia |
| collection |
UTM Institutional Repository |
| topic |
TK Electrical engineering Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering Electronics Nuclear engineering Ahmad, Ashraf Adamu Analysis and classification of airborne radar signal types using time-frequency analysis |
| description |
An electronic warfare support measure system is used by the military for intelligence gathering, threat detection, and as a support to electronic attack system. Its main feature is to determine the frequency parameters and pulse characteristics of the received radar signal. The estimated signal parameters are then used as input to a classifier network to determine the identity of the received signal. This project describes airborne radar type analysis and classification (ARTAC) system that uses the spectrogram to obtain the time-frequency representation (TFR) and apply analysis tools such as the instantaneous energy, instantaneous frequency and other related tools to estimate various signal parameters. The estimated parameters are used as input to the rule-based classifier which classifies the signal appropriately. Monte-Carlo simulation is then carried out to estimate the accuracy of signal classification at various signal-to-noise ratios (SNRs) in additive white Gaussian noise (AWGN). The proposed system achieves 90 percent classification accuracy at minimum SNR of 6.2dB |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Ahmad, Ashraf Adamu |
| author_facet |
Ahmad, Ashraf Adamu |
| author_sort |
Ahmad, Ashraf Adamu |
| title |
Analysis and classification of airborne radar signal types using time-frequency analysis |
| title_short |
Analysis and classification of airborne radar signal types using time-frequency analysis |
| title_full |
Analysis and classification of airborne radar signal types using time-frequency analysis |
| title_fullStr |
Analysis and classification of airborne radar signal types using time-frequency analysis |
| title_full_unstemmed |
Analysis and classification of airborne radar signal types using time-frequency analysis |
| title_sort |
analysis and classification of airborne radar signal types using time-frequency analysis |
| granting_institution |
Universiti Teknologi Malaysia, Faculty of Electrical Engineering |
| granting_department |
Faculty of Electrical Engineering |
| publishDate |
2014 |
| _version_ |
1747817367311745024 |