Universal Costas Matrices: Towards a General Framework for Costas Array Construction

Fuente: arXiv
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Autori principali: Gulec, Fatih, Abolghasemi, Vahid
Natura: Preprint
Pubblicazione: 2026
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author Gulec, Fatih
Abolghasemi, Vahid
author_facet Gulec, Fatih
Abolghasemi, Vahid
contents Costas arrays are a special type of permutation matrices with ideal autocorrelation and low cross-correlation properties, making them valuable for radar, wireless communication, and integrated sensing and communication applications. This paper presents a novel unified framework for analyzing and discovering new Costas arrays. We introduce Universal Costas Matrices (UCMs) and Universal Costas Frequency Matrices (UCFMs) and investigate their structural characteristics. A framework integrating UCMs and UCFMs is proposed to pave the way for future artificial intelligence-assisted Costas array discovery. Leveraging the structural properties of UCMs and UCFMs, a reconstruction-based search method is developed to generate UCMs from UCFMs. Numerical results demonstrate that the proposed approach significantly accelerates the search process and enhances structural insight into Costas array generation.
format Preprint
id arxiv_https___arxiv_org_abs_2602_03407
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Universal Costas Matrices: Towards a General Framework for Costas Array Construction
Gulec, Fatih
Abolghasemi, Vahid
Information Theory
Combinatorics
Costas arrays are a special type of permutation matrices with ideal autocorrelation and low cross-correlation properties, making them valuable for radar, wireless communication, and integrated sensing and communication applications. This paper presents a novel unified framework for analyzing and discovering new Costas arrays. We introduce Universal Costas Matrices (UCMs) and Universal Costas Frequency Matrices (UCFMs) and investigate their structural characteristics. A framework integrating UCMs and UCFMs is proposed to pave the way for future artificial intelligence-assisted Costas array discovery. Leveraging the structural properties of UCMs and UCFMs, a reconstruction-based search method is developed to generate UCMs from UCFMs. Numerical results demonstrate that the proposed approach significantly accelerates the search process and enhances structural insight into Costas array generation.
title Universal Costas Matrices: Towards a General Framework for Costas Array Construction
topic Information Theory
Combinatorics
url https://arxiv.org/abs/2602.03407