A convex optimization-based inversion method for the synthesis of monopulse linear arrays

In this work, the design of monopulse linear arrays generating sum and difference patterns with a partially shared beam forming network is addressed as an inverse problem and solved through a suitable inversion strategy. The array tails are organized into sub-arrays controlled by amplitude weights,...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 1476; no. 1; pp. 12014 - 12018
Main Authors Boulos, Federico, Dall'Asta, Luca, Gottardi, Giorgio, Abdul Hannan, Mohammad, Polo, Alessandro, Salas-Sanchez, Aaron
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.03.2020
Subjects
Amplitudes
Arrays
Beamforming
Convex analysis
Convexity
Inverse problems
Linear arrays
Optimization
Optimization techniques
Physics
Synthesis
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Summary:In this work, the design of monopulse linear arrays generating sum and difference patterns with a partially shared beam forming network is addressed as an inverse problem and solved through a suitable inversion strategy. The array tails are organized into sub-arrays controlled by amplitude weights, while the remaining array elements have two independent amplitude coefficients, one for each beam. The optimal values of both common and independent excitations are determined by means of a convex optimization technique able to retrieve the globally optimal solution whether existing. Sucli a synthesis method allows one to include user- defined upper power bounds on the secondary lobes as well as to arbitrary decide the layout (i.e., the number and the sizes of the sub-arrays) of the common part. Representative results are reported and discussed to assess the effectiveness and the efficiency of the proposed technique.
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ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1476/1/012014