Reduced complexity FFT-based DOA and DOD estimation for moving target in bistatic MIMO radar

Handle URI:
http://hdl.handle.net/10754/621350
Title:
Reduced complexity FFT-based DOA and DOD estimation for moving target in bistatic MIMO radar
Authors:
Ali, Hussain; Ahmed, Sajid; Al-Naffouri, Tareq Y.; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
In 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.
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Citation:
Ali 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.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Conference/Event name:
41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
Issue Date:
24-Jun-2016
DOI:
10.1109/ICASSP.2016.7472232
Type:
Conference Paper
Sponsors:
URF/1/1713-01-01, KAUST
Appears in Collections:
Conference Papers; Physical Sciences and Engineering (PSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAli, Hussainen
dc.contributor.authorAhmed, Sajiden
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2016-11-03T06:58:16Z-
dc.date.available2016-11-03T06:58:16Z-
dc.date.issued2016-06-24en
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.en
dc.identifier.doi10.1109/ICASSP.2016.7472232en
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.en
dc.description.sponsorshipURF/1/1713-01-01, KAUSTen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectBistatic MIMO radaren
dc.titleReduced complexity FFT-based DOA and DOD estimation for moving target in bistatic MIMO radaren
dc.typeConference Paperen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journal2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)en
dc.conference.date20 March 2016 through 25 March 2016en
dc.conference.name41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016en
dc.contributor.institutionKing Fahd University of Petroleum and Minerals (KFUPM), Electrical Engineering Department, Dhahran, Saudi Arabiaen
kaust.authorAhmed, Sajiden
kaust.authorAl-Naffouri, Tareq Y.en
kaust.authorAlouini, Mohamed-Slimen
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