MIMO-Radar Waveform Design for Beampattern Using Particle-Swarm-Optimisation

Handle URI:
http://hdl.handle.net/10754/236735
Title:
MIMO-Radar Waveform Design for Beampattern Using Particle-Swarm-Optimisation
Authors:
Ahmed, Sajid; Thompson, John S.; Mulgrew, Bernard
Abstract:
Multiple input multiple output (MIMO) radars have many advantages over their phased-array counterparts: improved spatial resolution; better parametric identifiably and greater flexibility to acheive the desired transmit beampattern. The desired transmit beampatterns using MIMO-radar requires the waveforms to have arbitrary auto- and cross-correlations. To design such waveforms, generally a waveform covariance matrix, R, is synthesised first then the actual waveforms are designed. Synthesis of the covariance matrix, R, is a constrained optimisation problem, which requires R to be positive semidefinite and all of its diagonal elements to be equal. To simplify the first constraint the covariance matrix is synthesised indirectly from its square-root matrix U, while for the second constraint the elements of the m-th column of U are parameterised using the coordinates of the m-hypersphere. This implicitly fulfils both of the constraints and enables us to write the cost-function in closed form. Then the cost-function is optimised using a simple particle-swarm-optimisation (PSO) technique, which requires only the cost-function and can optimise any choice of norm cost-function. © 2012 IEEE.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2012 IEEE International Conference on Communications (ICC)
Conference/Event name:
2012 IEEE International Conference on Communications, ICC 2012
Issue Date:
31-Jul-2012
DOI:
10.1109/ICC.2012.6364672
Type:
Conference Paper
ISSN:
1550-3607
Appears in Collections:
Conference Papers; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAhmed, Sajiden
dc.contributor.authorThompson, John S.en
dc.contributor.authorMulgrew, Bernarden
dc.date.accessioned2012-07-31T22:27:17Z-
dc.date.available2012-07-31T22:27:17Z-
dc.date.issued2012-07-31en
dc.identifier.issn1550-3607en
dc.identifier.doi10.1109/ICC.2012.6364672en
dc.identifier.urihttp://hdl.handle.net/10754/236735en
dc.description.abstractMultiple input multiple output (MIMO) radars have many advantages over their phased-array counterparts: improved spatial resolution; better parametric identifiably and greater flexibility to acheive the desired transmit beampattern. The desired transmit beampatterns using MIMO-radar requires the waveforms to have arbitrary auto- and cross-correlations. To design such waveforms, generally a waveform covariance matrix, R, is synthesised first then the actual waveforms are designed. Synthesis of the covariance matrix, R, is a constrained optimisation problem, which requires R to be positive semidefinite and all of its diagonal elements to be equal. To simplify the first constraint the covariance matrix is synthesised indirectly from its square-root matrix U, while for the second constraint the elements of the m-th column of U are parameterised using the coordinates of the m-hypersphere. This implicitly fulfils both of the constraints and enables us to write the cost-function in closed form. Then the cost-function is optimised using a simple particle-swarm-optimisation (PSO) technique, which requires only the cost-function and can optimise any choice of norm cost-function. © 2012 IEEE.en
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectMIMO-Radaren
dc.subjectColocated Antennaen
dc.subjectParticle-Swarm-Optimisationen
dc.titleMIMO-Radar Waveform Design for Beampattern Using Particle-Swarm-Optimisationen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journal2012 IEEE International Conference on Communications (ICC)en
dc.conference.date10 June 2012 through 15 June 2012en
dc.conference.name2012 IEEE International Conference on Communications, ICC 2012en
dc.conference.locationOttawa, ONen
kaust.authorAhmed, Sajiden
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