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dc.contributor.authorAhmed, Sajid
dc.contributor.authorJardak, Seifallah
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2018-04-15T07:13:34Z
dc.date.available2018-04-15T07:13:34Z
dc.date.issued2018-03-12
dc.identifier.citationAhmed S, Jardak S, Alouini M-S (2017) Closed-form solution to directly design frequency modulated waveforms for beampatterns. 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP). Available: http://dx.doi.org/10.1109/globalsip.2017.8308607.
dc.identifier.doi10.1109/globalsip.2017.8308607
dc.identifier.urihttp://hdl.handle.net/10754/627443
dc.description.abstractThe targets image performance depends on the transmit beampattern and power-spectral-density of the probing signal. To design such probing signals for multiple-input multiple output (MIMO) radar, conventional algorithms are iterative in nature, therefore high computational complexity restricts their use in real time applications. In this paper, to achieve the desired beampattern, a novel closed-form algorithm to design frequency-modulated (FM) waveforms for MIMO radar is proposed. The proposed algorithm has negligible computational complexity and yields unity peak-to-average power ratio constant envelope waveforms. Moreover, in contrast to the narrow band algorithms, it has almost flat main and side lobes. In the proposed algorithm, a relationship between the width of symmetric beampattern and the product of initial frequency and duration of the baseband FM waveforms is developed.
dc.description.sponsorshipThis research was funded by a grant from the office of competitive research funding (OCRF) at the King Abdullah University of Science and Technology (KAUST).
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/document/8308607/
dc.subjectBeamforming
dc.subjectFrequency-modulated waveforms
dc.subjectDiscrete-Fourier-transform
dc.subjectSoftware radar
dc.titleClosed-form solution to directly design frequency modulated waveforms for beampatterns
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journal2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
dc.contributor.institutionElectrical Engineering Department Information Technology University (ITU), Lahore, Pakistan
kaust.personJardak, Seifallah
kaust.personAlouini, Mohamed-Slim
dc.date.published-online2018-03-12
dc.date.published-print2017-11


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