A New Method for Specific Emitter Identification With Results on Real Radar Measurements
| Autor: | Yasar Kemal Alp, Orhan Arikan, Gokhan Gok |
|---|---|
| Přispěvatelé: | Gök, Gökhan, Arıkan, Orhan |
| Rok vydání: | 2020 |
| Předmět: |
021110 strategic
defence & security studies Signal processing Computer Networks and Communications Computer science Acoustics 0211 other engineering and technologies 02 engineering and technology Radar specific emitter identification Classification Signal Instantaneous phase Time–frequency analysis law.invention Identification (information) Unintentional modulation on pulse Signal-to-noise ratio law Radar Envelope (radar) Safety Risk Reliability and Quality Variational mode decomposition Time-frequency domain features |
| Zdroj: | IEEE Transactions on Information Forensics and Security |
| ISSN: | 1556-6021 1556-6013 |
| Popis: | Specific Emitter Identification (SEI) is the process of specifically identifying mobile transmitters by extracting unique features from the precise measurements of their emitted signals. A novel signal processing scheme with two stages is proposed for the identification of specific radar emitters. In the first stage, the received radar pulses are accurately time aligned and coherently integrated in order to increase the Signal-to-Noise (SNR) ratio. Using this technique, measurements with SNR improvements of more than 25 dB are obtained, enabling detection of subtle differences between different emitters. In the second step, Variational Mode Decomposition (VMD) is used to decompose both the envelope and the instantaneous frequency of the received signal into a set of modes. Then, these mode signals are characterized by using a group of features for identification. We demonstrate highly successful identification performance with the proposed method on real radar datasets. |
| Databáze: | OpenAIRE |
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