2020 IEEE International Radar Conference (RADAR) 2020
DOI: 10.1109/radar42522.2020.9114819
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Target Sidelobes Removal via Sparse Recovery in the Subband Domain of an OFDM RadCom System

Abstract: 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. Results on synthetic data show that our approach allows one to remove not only the target random sidelobes but also range ambiguities arising… Show more

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Cited by 2 publications
(1 citation statement)
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“…Otherwise, the OFDM receiver experiences the inter-pulse interference, usually characterized as white random sidelobes at the output of symbol-based receivers [66]. Such a situation may cause target masking issues and must be mitigated in many realistic scenarios (e.g., high number of targets, clutter), for example, with the help of CLEAN-based techniques [67] or with sparse Bayesian MCMC processing [68].…”
Section: A Communication Signal-based Approachesmentioning
confidence: 99%
“…Otherwise, the OFDM receiver experiences the inter-pulse interference, usually characterized as white random sidelobes at the output of symbol-based receivers [66]. Such a situation may cause target masking issues and must be mitigated in many realistic scenarios (e.g., high number of targets, clutter), for example, with the help of CLEAN-based techniques [67] or with sparse Bayesian MCMC processing [68].…”
Section: A Communication Signal-based Approachesmentioning
confidence: 99%