dc.contributor.author | Cao, Pan | |
dc.contributor.author | Thompson, John | |
dc.contributor.author | Haas, Harald | |
dc.date.accessioned | 2018-03-06T18:05:22Z | |
dc.date.available | 2018-03-06T18:05:22Z | |
dc.date.issued | 2017-07-27 | |
dc.identifier.citation | Cao , P , Thompson , J & Haas , H 2017 , ' Constant Modulus Shaped Beam Synthesis via Convex Relaxation ' , IEEE Antennas and Wireless Propagation Letters , vol. 16 , pp. 617-620 . https://doi.org/10.1109/LAWP.2016.2594141 | |
dc.identifier.uri | http://hdl.handle.net/2299/19864 | |
dc.description | © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |
dc.description.abstract | Constant modulus shaped beam synthesis is widely employed in multiple-input-multiple-output (MIMO) radar systems and MIMO wireless communication systems to improve the effective power gain by using only phase adjustment. To achieve the maximum beam gain, we formulate a new optimization problem to maximize the main lobe gain and also properly suppress the sidelobes. However, this problem is NP-hard because of the constant modulus constraint. In order to efficiently solve this problem, we first relax the constant modulus constraint to a convex constraint, and then propose an alternating optimization algorithm to solve the relaxed problem. Interestingly, numerical results imply that the solutions of the relaxed optimization problem are (almost) constant modulus, and thus the convex relaxation is usually tight. | en |
dc.format.extent | 4 | |
dc.format.extent | 531667 | |
dc.language.iso | eng | |
dc.relation.ispartof | IEEE Antennas and Wireless Propagation Letters | |
dc.title | Constant Modulus Shaped Beam Synthesis via Convex Relaxation | en |
dc.contributor.institution | Communications and Intelligent Systems | |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.contributor.institution | Department of Engineering and Technology | |
dc.contributor.institution | Centre for Engineering Research | |
dc.description.status | Peer reviewed | |
rioxxterms.versionofrecord | 10.1109/LAWP.2016.2594141 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |