New Spectrally Constrained Sequence Sets With Optimal Periodic Cross-Correlation

Autor:	Zhifan Ye, Zhengchun Zhou, Zilong Liu, Xiaohu Tang, Pingzhi Fan
Rok vydání:	2023
Předmět:	FOS: Computer and information sciences Information Theory (cs.IT) Computer Science - Information Theory FOS: Mathematics Mathematics - Combinatorics Combinatorics (math.CO) Library and Information Sciences Computer Science Applications Information Systems
Zdroj:	IEEE Transactions on Information Theory. 69:610-625
ISSN:	1557-9654 0018-9448
DOI:	10.1109/tit.2022.3205380
Popis:	Spectrally constrained sequences (SCSs) play an important role in modern communication and radar systems operating over non-contiguous spectrum. Despite numerous research attempts over the past years, very few works are known on the constructions of optimal SCSs with low cross-correlations. In this paper, we address such a major problem by introducing a unifying framework to construct unimodular SCS families using circular Florentine rectangles (CFRs) and interleaving techniques. By leveraging the uniform power allocation in the frequency domain for all the admissible carriers (a necessary condition for beating the existing periodic correlation lower bound of SCSs), we present a tighter correlation lower bound and show that it is achievable by our proposed SCS families including multiple SCS sets with zero correlation zone properties. to appear in IEEE Transactions on Information Theory
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::406c7f34f079f9be00ca8b18155cf5bf https://doi.org/10.1109/tit.2022.3205380 Zobrazit plný text záznamu