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Computer Science > Information Theory

arXiv:2310.05930 (cs)
[Submitted on 17 Aug 2023]

Title:Design of Clustered Phased Arrays by Means of an Innovative Power Pattern Matching-Driven Method -- The Linear Array Case

Authors:Arianna Benoni, Lorenzo Poli, Paolo Rocca, Andrea Massa
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Abstract:The design of sub-arrayed phased arrays (PAs) with sub-array-only amplitude and phase controls that afford arbitrary-shaped power patterns matching reference ones is addressed. Such a synthesis problem is formulated in the power pattern domain and an innovative complex-excitations clustering method, which is based on the decomposition of the reference power pattern in a number of elementary patterns equal to the array elements, is presented. A set of representative results is reported to illustrate the features of the proposed approach as well as to assess its effectiveness in comparison with benchmark results from the state-of-the-art (SoA) excitation matching-based clustering methods.
Subjects: Information Theory (cs.IT); Signal Processing (eess.SP); Systems and Control (eess.SY)
Cite as: arXiv:2310.05930 [cs.IT]
  (or arXiv:2310.05930v1 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2310.05930

Submission history

From: Lorenzo Poli Dr. [view email]
[v1] Thu, 17 Aug 2023 15:44:57 UTC (2,777 KB)
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