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Electrical Engineering and Systems Science > Signal Processing

arXiv:2501.07583 (eess)
[Submitted on 29 Dec 2024]

Title:Unconventional Array Design in the Autocorrelation Domain -- Isophoric 1D Thinning

Authors:Lorenzo Poli, Giacomo Oliveri, Nicola Anselmi, Arianna Benoni, Luca Tosi, Andrea Massa
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Abstract:The synthesis of thinned isophoric arrays (TIAs) radiating mask-constrained patterns is addressed. By leveraging on the recently-introduced formulation of the design of antenna arrays in the autocorrelation-domain (AD), the TIA synthesis is recast as the matching of a target autocorrelation function derived from the user-defined guidelines and objectives. By exploiting the autocorrelation invariance of cyclic binary sequences, the AD solution space is significantly reduced and it is efficiently sampled by means of a discrete hybrid optimization approach. Two possible implementations of the AD-based TIA formulation are discussed and assessed in a set of representative numerical examples concerned with both ideal and real radiators, which are full-wave modeled to account for the mutual coupling effects. Comparisons with traditional pattern-domain (PD) synthesis methods are also considered to point out the features and the advantages of AD-based approaches.
Subjects: Signal Processing (eess.SP)
Cite as: arXiv:2501.07583 [eess.SP]
  (or arXiv:2501.07583v1 [eess.SP] for this version)
  https://doi.org/10.48550/arXiv.2501.07583

Submission history

From: Giacomo Oliveri [view email]
[v1] Sun, 29 Dec 2024 10:16:30 UTC (5,117 KB)
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