Ye, Zhifan and Zhou, Zhengchun and Liu, Zilong and Tang, Xiaohu and Fan, Pingzhi (2023) New Spectrally Constrained Sequence Sets With Optimal Periodic Cross-Correlation. IEEE Transactions on Information Theory, 69 (1). pp. 610-625. DOI https://doi.org/10.1109/tit.2022.3205380
Ye, Zhifan and Zhou, Zhengchun and Liu, Zilong and Tang, Xiaohu and Fan, Pingzhi (2023) New Spectrally Constrained Sequence Sets With Optimal Periodic Cross-Correlation. IEEE Transactions on Information Theory, 69 (1). pp. 610-625. DOI https://doi.org/10.1109/tit.2022.3205380
Ye, Zhifan and Zhou, Zhengchun and Liu, Zilong and Tang, Xiaohu and Fan, Pingzhi (2023) New Spectrally Constrained Sequence Sets With Optimal Periodic Cross-Correlation. IEEE Transactions on Information Theory, 69 (1). pp. 610-625. DOI https://doi.org/10.1109/tit.2022.3205380
Abstract
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.
Item Type: | Article |
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Uncontrolled Keywords: | Spectrally constrained sequence; circular Florentine rectangle; optimal sequences; interleaving technique; zero correlation zone |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 18 Jan 2023 13:55 |
Last Modified: | 30 Oct 2024 20:55 |
URI: | http://repository.essex.ac.uk/id/eprint/34577 |
Available files
Filename: 2209.12755.pdf