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hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorSALEH, Mahdi
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorOMAR, Samir-Mohamad
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorGRIVEL, Eric
hal.structure.identifierQuality control and dynamic reliability [CQFD]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorLEGRAND, Pierrick
dc.date.accessioned2024-04-04T02:37:07Z
dc.date.available2024-04-04T02:37:07Z
dc.date.created2020
dc.date.issued2020
dc.identifier.issn1051-2004
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/190778
dc.description.abstractEnThe non-linear frequency modulation (NLFM) waveform is one of the existing waveforms that can be used in high range resolution radar applications. However, a high sampling frequency and consequently an expensive ADC are required. To overcome this drawback while taking advantage of the features of the NLFM waveform, we suggest approximating the wideband NLFM waveform by a piecewise linear waveform and using it in a stepped frequency (SF) framework. Thus, a variable chirp rate SF-LFM waveform is proposed where SF is combined with a train of LFM pulses having different chirp rates, durations, and bandwidths. In this paper, these parameters are derived from a tangent-based NLFM waveform. At the receiver, a generalized version of the time domain (TD) algorithm is proposed to process the received echoes. Our purpose is to obtain the high range resolution profile (HRRP) whose properties are of the same magnitude orders as those obtained using a tangent-based NLFM waveform. These properties are the peak sidelobe ratio, the integrated sidelobe, and the range resolution. Toward this goal, a multi-objective optimization issue is addressed to deduce the parameters of the proposed waveform by using two types of approaches based on evolutionary algorithms. Their relevance is compared. Our analysis and simulations show that the proposed approaches attain the targeted performance goals with a smaller sampling frequency at the receiver.
dc.language.isoen
dc.publisherElsevier
dc.rights.urihttp://creativecommons.org/licenses/by-nc/
dc.subject.enStepped frequency waveforms
dc.subject.enPiecewise NLFM
dc.subject.enTime domain algorithm
dc.subject.enMulti-objective optimization
dc.subject.enGenetic algorithm
dc.subject.enNSGA-II
dc.title.enA Variable Chirp Rate Stepped Frequency Linear Frequency Modulation Waveform Designed to Approximate Wideband Non-Linear Radar Waveforms
dc.typeArticle de revue
dc.identifier.doi10.1016/j.dsp.2020.102884
dc.subject.halInformatique [cs]/Traitement du signal et de l'image
bordeaux.journalDigital Signal Processing
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-02963775
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02963775v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Digital%20Signal%20Processing&rft.date=2020&rft.eissn=1051-2004&rft.issn=1051-2004&rft.au=SALEH,%20Mahdi&OMAR,%20Samir-Mohamad&GRIVEL,%20Eric&LEGRAND,%20Pierrick&rft.genre=article


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