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dc.contributor.authorJardak, Seifallah
dc.contributor.authorAhmed, Sajid
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2015-08-04T07:27:49Z
dc.date.available2015-08-04T07:27:49Z
dc.date.issued2014-10
dc.identifier.isbn9781479941957
dc.identifier.doi10.1109/RADAR.2014.7060304
dc.identifier.urihttp://hdl.handle.net/10754/565002
dc.description.abstractIn multiple-input multiple-output (MIMO) radar, to estimate the reflection coefficient, spatial location, and Doppler shift of a target, maximum-likelihood (ML) estimation yields the best performance. For this problem, the ML estimation requires the joint estimation of spatial location and Doppler shift, which is a two dimensional search problem. Therefore, the computational complexity of ML estimation is prohibitively high. In this work, to estimate the parameters of a target, a reduced complexity optimum performance algorithm is proposed, which allow two dimensional fast Fourier transform to jointly estimate the spatial location and Doppler shift. To asses the performances of the proposed estimators, the Cramér-Rao-lower-bound (CRLB) is derived. Simulation results show that the mean square estimation error of the proposed estimators achieve the CRLB. © 2014 IEEE.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectCramér-Rao lower bound
dc.subjectDoppler
dc.subjectMIMO-radar
dc.subjectReflection coefficient
dc.subjectSpatial location
dc.titleLow complexity joint estimation of reflection coefficient, spatial location, and Doppler shift for MIMO-radar by exploiting 2D-FFT
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentCommunication Theory Lab
dc.identifier.journal2014 International Radar Conference
dc.conference.date13 October 2014 through 17 October 2014
dc.conference.name2014 International Radar Conference, Radar 2014
kaust.personJardak, Seifallah
kaust.personAhmed, Sajid
kaust.personAlouini, Mohamed-Slim


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