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dc.contributor.authorAhmed, Sajid
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2013-10-28T12:24:44Z
dc.date.available2013-10-28T12:24:44Z
dc.date.issued2013-10-28
dc.identifier.issn1053-587X
dc.identifier.doi10.1109/TSP.2014.2310435
dc.identifier.urihttp://hdl.handle.net/10754/304681
dc.description.abstractCompared to phased-array, multiple-input multiple-output (MIMO) radars provide more degrees-offreedom (DOF) that can be exploited for improved spatial resolution, better parametric identifiability, lower side-lobe levels at the transmitter/receiver, and design variety of transmit beampatterns. The design of the transmit beampattern generally requires the waveforms to have arbitrary auto- and crosscorrelation properties. The generation of such waveforms is a two step complicated process. In the first step a waveform covariance matrix is synthesised, which is a constrained optimisation problem. In the second step, to realise this covariance matrix actual waveforms are designed, which is also a constrained optimisation problem. Our proposed scheme converts this two step constrained optimisation problem into a one step unconstrained optimisation problem. In the proposed scheme, in contrast to synthesising the covariance matrix for the desired beampattern, nT independent finite-alphabet constantenvelope waveforms are generated and pre-processed, with weight matrix W, before transmitting from the antennas. In this work, two weight matrices are proposed that can be easily optimised for the desired symmetric and non-symmetric beampatterns and guarantee equal average power transmission from each antenna. Simulation results validate our claims.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectMIMO radar
dc.subjectcolocated antennas
dc.subjectbeampattern design
dc.subjectgeometric function
dc.titleMIMO Radar Transmit Beampattern Design Without Synthesising the Covariance Matrix
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentCommunication Theory Lab
dc.identifier.journalIEEE Transactions on Signal Processing
dc.eprint.versionPost-print
dc.contributor.institutionDepartment of Physics, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personAhmed, Sajid
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2018-06-13T14:07:24Z


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