Beamforming in the Presence of Mutual Coupling Based on Constrained Particle Swarm Optimization
Two approaches towards beamforming based on constrained particle swarm optimization (PSO) are presented. One approach relies on the penalty function method, for which a new mathematical expression to select the penalty factors is derived. The other method uses a new PSO strategy for solving constrai...
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| Veröffentlicht in: | IEEE transactions on antennas and propagation 2009-06, Vol.57 (6), p.1655-1666 |
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| container_issue | 6 |
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| container_title | IEEE transactions on antennas and propagation |
| container_volume | 57 |
| creator | Demarcke, P. Rogier, H. Goossens, R. De Jaeger, P. |
| description | Two approaches towards beamforming based on constrained particle swarm optimization (PSO) are presented. One approach relies on the penalty function method, for which a new mathematical expression to select the penalty factors is derived. The other method uses a new PSO strategy for solving constrained optimization problems. To maximize performance of the beamforming procedure, the optimal system parameters for the PSO algorithm are derived. Mutual coupling and platform effects are fully accounted for by using the measured active element radiation patterns. The new PSO strategy is compared with a standard genetic algorithm. Using the measured radiation patterns of a seven-element antenna array, a real-life example is presented that demonstrates the possibilities of the new approach. |
| doi_str_mv | 10.1109/TAP.2009.2019923 |
| format | Article |
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One approach relies on the penalty function method, for which a new mathematical expression to select the penalty factors is derived. The other method uses a new PSO strategy for solving constrained optimization problems. To maximize performance of the beamforming procedure, the optimal system parameters for the PSO algorithm are derived. Mutual coupling and platform effects are fully accounted for by using the measured active element radiation patterns. The new PSO strategy is compared with a standard genetic algorithm. Using the measured radiation patterns of a seven-element antenna array, a real-life example is presented that demonstrates the possibilities of the new approach.</description><subject>Adaptive arrays</subject><subject>Antenna arrays</subject><subject>Antenna measurements</subject><subject>Antenna radiation patterns</subject><subject>Antennas</subject><subject>Applied sciences</subject><subject>Array signal processing</subject><subject>Beamforming</subject><subject>constrained optimization</subject><subject>Constraint optimization</subject><subject>Constraints</subject><subject>Directive antennas</subject><subject>Exact sciences and technology</subject><subject>Mathematical analysis</subject><subject>Mutual coupling</subject><subject>Optimization</subject><subject>Particle swarm optimization</subject><subject>particle swarm optimization (PSO)</subject><subject>Radiocommunications</subject><subject>Signal processing algorithms</subject><subject>smart antenna system</subject><subject>Strategy</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Transmission and modulation (techniques and equipments)</subject><issn>0018-926X</issn><issn>1558-2221</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kc1r3DAQxUVJoJu090IvItDm5ETfto7J0iaBhCw0hd6ELI9bBVvaSDYh-esrs0sOPfQyw7z5zYPhIfSJkjNKiT5_uNicMUJ0KVRrxt-hFZWyqRhj9ACtCKFNpZn69R4d5fxYRtEIsULmEuzYxzT68Bv7gKc_gDcJMgQHOPb4bp5mO-B1nLfDglzaDB2OoSghT8n6UMaNTZN3A-AfzzaN-H47-dG_2snH8AEd9nbI8HHfj9HP798e1tfV7f3VzfritnK84VPFpHI9KNm11FqnlIa6d0R0ohW1bdvOWa07JjjtdNsxKoUsOm2JqNum09DzY3S6892m-DRDnszos4NhsAHinE1TS8Jko2Qhv_6X5EJLqRpWwJN_wMc4p1C-MJoyrjQhixvZQS7FnBP0Zpv8aNOLocQswZgSjFmCMftgysmXva_Nzg59ssH5_HbHaC0Y1wv3ecd5AHhbS6KYZJT_Bf_plqc</recordid><startdate>20090601</startdate><enddate>20090601</enddate><creator>Demarcke, P.</creator><creator>Rogier, H.</creator><creator>Goossens, R.</creator><creator>De Jaeger, P.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| ispartof | IEEE transactions on antennas and propagation, 2009-06, Vol.57 (6), p.1655-1666 |
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| subjects | Adaptive arrays Antenna arrays Antenna measurements Antenna radiation patterns Antennas Applied sciences Array signal processing Beamforming constrained optimization Constraint optimization Constraints Directive antennas Exact sciences and technology Mathematical analysis Mutual coupling Optimization Particle swarm optimization particle swarm optimization (PSO) Radiocommunications Signal processing algorithms smart antenna system Strategy Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) |
| title | Beamforming in the Presence of Mutual Coupling Based on Constrained Particle Swarm Optimization |
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