Target Sidelobes Removal via Sparse Recovery in the Subband Domain of an OFDM RadCom System
| Autor: | Steven Mercier, Stephanie Bidon, Damien Roque |
|---|---|
| Přispěvatelé: | Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE), Thales (FRANCE) |
| Rok vydání: | 2020 |
| Předmět: |
Masking (art)
020301 aerospace & aeronautics random sidelobes Computer science Orthogonal frequency-division multiplexing 020206 networking & telecommunications 02 engineering and technology Synthetic data Domain (software engineering) waveform sharing Range (mathematics) Pedestal 0203 mechanical engineering orthogonal frequency-division multiplexing (OFDM) Sparse Recovery 0202 electrical engineering electronic engineering information engineering Traitement du signal et de l'image Waveform dual-functional radar-communication (DFRC) Algorithm |
| Zdroj: | 2020 IEEE International Radar Conference (RADAR). |
| DOI: | 10.1109/radar42522.2020.9114819 |
| Popis: | In this paper, the problem of target masking induced by sidelobes arising in an OFDM RadCom System is considered. To fully exploit the waveform structure and address practical scenarios, we propose to deal with the sidelobes in the subband domain via sparse recovery. Accordingly, we design a sparsifying dictionary modeling at the same time the target's peak and pedestal (i.e., random sidelobes). Results on synthetic data show that our approach allows one to remove not only the target pedestal but also range ambiguities arising when all subbands are not active. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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