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dc.contributor.authorAli, Hussain
dc.contributor.authorAhmed, Sajid
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2016-11-03T06:58:16Z
dc.date.available2016-11-03T06:58:16Z
dc.date.issued2016-06-24
dc.identifier.citationAli H, Ahmed S, Al-Naffouri TY, Alouini M-S (2016) Reduced complexity FFT-based DOA and DOD estimation for moving target in bistatic MIMO radar. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Available: http://dx.doi.org/10.1109/ICASSP.2016.7472232.
dc.identifier.doi10.1109/ICASSP.2016.7472232
dc.identifier.urihttp://hdl.handle.net/10754/621350
dc.description.abstractIn this paper, we consider a bistatic multiple-input multiple-output (MIMO) radar. We propose a reduced complexity algorithm to estimate the direction-of-arrival (DOA) and direction-of-departure (DOD) for moving target. We show that the calculation of parameter estimation can be expressed in terms of one-dimensional fast-Fourier-transforms which drastically reduces the complexity of the optimization algorithm. The performance of the proposed algorithm is compared with the two-dimension multiple signal classification (2D-MUSIC) and reduced-dimension MUSIC (RD-MUSIC) algorithms. It is shown by simulations, our proposed algorithm has better estimation performance and lower computational complexity compared to the 2D-MUSIC and RD-MUSIC algorithms. Moreover, simulation results also show that the proposed algorithm achieves the Cramer-Rao lower bound. © 2016 IEEE.
dc.description.sponsorshipURF/1/1713-01-01, KAUST
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectBistatic MIMO radar
dc.titleReduced complexity FFT-based DOA and DOD estimation for moving target in bistatic MIMO radar
dc.typeConference Paper
dc.contributor.departmentCommunication Theory Lab
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journal2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
dc.conference.date20 March 2016 through 25 March 2016
dc.conference.name41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
dc.contributor.institutionKing Fahd University of Petroleum and Minerals (KFUPM), Electrical Engineering Department, Dhahran, Saudi Arabia
kaust.personAhmed, Sajid
kaust.personAl-Naffouri, Tareq Y.
kaust.personAlouini, Mohamed-Slim
kaust.grant.numberURF/1/1713-01-01
dc.date.published-online2016-06-24
dc.date.published-print2016-03


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