Synthesis of Sparse Array With Sum and Difference Patterns Under Minimum Element Spacing Control by Alternating Linear Programming Optimization

A novel method based on alternating linear programming optimization is presented to synthesize sparse linear arrays with sum and difference patterns. This method can find the optimized element positions and excitations shared for both sum and difference patterns with accurate control of multiregion...

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Veröffentlicht in:IEEE antennas and wireless propagation letters Jg. 20; H. 6; S. 1028 - 1032
Hauptverfasser: Wu, Pan, Liu, Yanhui, Liu, Foxiang, Yang, Shiwen, Hu, Jun
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.06.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:1536-1225, 1548-5757
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Zusammenfassung:A novel method based on alternating linear programming optimization is presented to synthesize sparse linear arrays with sum and difference patterns. This method can find the optimized element positions and excitations shared for both sum and difference patterns with accurate control of multiregion sidelobe distribution and difference pattern null slope. In addition, the constraints on the minimum element spacing and dynamic range ratio of the obtained excitations can be also appropriately incorporated into this alternating optimization process. Two synthesis examples with different pattern shape requirements are conducted to validate the effectiveness and advantages of the proposed method.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1536-1225
1548-5757
DOI:10.1109/LAWP.2021.3069907