Reactively Loaded Array Pattern Synthesis as a Quadratically Constrained Quadratic Program
The pattern synthesis problem of maximizing the gain at a scanning direction subject to a maximum sidelobe level for a reactively loaded antenna array is formulated as a quadratically constrained quadratic program (QCQP). This formulation is derived from the scattering matrix and the active element...
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| Published in | IEEE transactions on antennas and propagation Vol. 63; no. 11; pp. 5219 - 5224 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.11.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| Online Access | Get full text |
| ISSN | 0018-926X 1558-2221 |
| DOI | 10.1109/TAP.2015.2478487 |
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| Abstract | The pattern synthesis problem of maximizing the gain at a scanning direction subject to a maximum sidelobe level for a reactively loaded antenna array is formulated as a quadratically constrained quadratic program (QCQP). This formulation is derived from the scattering matrix and the active element patterns of the array considering both fed and loaded antennas as ports. Since the resulting QCQP is nonconvex, the loads are computed from the solution of the semidefinite relaxation of the problem by forcing the feasibility of the constraints in a meaningful physical sense, i.e., by explicitly imposing passive or purely reactive loads. Numerical results of dipole arrays with various configurations are presented and compared to previous works. |
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| AbstractList | The pattern synthesis problem of maximizing the gain at a scanning direction subject to a maximum sidelobe level for a reactively loaded antenna array is formulated as a quadratically constrained quadratic program (QCQP). This formulation is derived from the scattering matrix and the active element patterns of the array considering both fed and loaded antennas as ports. Since the resulting QCQP is nonconvex, the loads are computed from the solution of the semidefinite relaxation of the problem by forcing the feasibility of the constraints in a meaningful physical sense, i.e., by explicitly imposing passive or purely reactive loads. Numerical results of dipole arrays with various configurations are presented and compared to previous works. |
| Author | Corcoles, Juan |
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| CitedBy_id | crossref_primary_10_1109_LSP_2023_3259163 crossref_primary_10_1109_TAP_2018_2835310 crossref_primary_10_1109_TAES_2021_3090903 crossref_primary_10_1109_OJAP_2024_3382833 |
| Cites_doi | 10.1109/78.558465 10.1109/TAP.2008.2009727 10.1109/TAP.2013.2290797 10.1109/MAP.2005.1487777 10.1109/TAP.1979.1142036 10.1109/ICMMT.2007.381284 10.1109/TAP.1978.1141852 10.1109/8.29377 10.1049/ip-map:20010401 10.1109/PROC.1971.8523 10.1109/LAWP.2012.2191584 10.1109/TAP.2014.2326425 10.1109/MSP.2010.936019 |
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| Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Nov 2015 |
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| Keywords | reconfigurable antennas sidelobe supression semidefinite (SD) programming optimization methods antenna pattern synthesis quadratic programming Antenna arrays |
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| References | ref13 ref12 ref15 ref14 ref11 ref10 ref2 skobelev (ref1) 2011 li (ref6) 2001; 148 nikkhah (ref3) 2014; 62 ref8 (ref17) 2014 ref7 ref9 ref4 andersen (ref18) 2013 ref5 (ref16) 2014 |
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| SubjectTerms | Antenna arrays Antenna pattern synthesis Arrays Gain Loaded antennas Optimization optimization methods Ports (Computers) quadratic programming reconfigurable antennas semidefinite programming sidelobe supression |
| Title | Reactively Loaded Array Pattern Synthesis as a Quadratically Constrained Quadratic Program |
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