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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Bibliographic Details
Published in:IEEE antennas and wireless propagation letters Vol. 20; no. 6; pp. 1028 - 1032
Main Authors: Wu, Pan, Liu, Yanhui, Liu, Foxiang, Yang, Shiwen, Hu, Jun
Format: Journal Article
Language:English
Published: New York IEEE 01.06.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Alternating linear programming optimization (ALPO)
Excitation
Linear antenna arrays
Linear arrays
Linear programming
Minimization
minimum element spacing control
Optimization
Programming
Radar tracking
Shape
Sidelobes
sparse array
sum and difference patterns
Synthesis
Upper bound
ISSN:1536-1225, 1548-5757
Online Access:Get full text
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Summary: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.
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ISSN:1536-1225
1548-5757
DOI:10.1109/LAWP.2021.3069907