New Spectrally Constrained Sequence Sets with Optimal {Periodic} Cross-Correlation
Zhifan Ye, Zhengchun Zhou, Zilong Liu, Xiaohu Tang, Pingzhi Fan

TL;DR
This paper introduces a new framework for constructing spectrally constrained sequences with optimal periodic cross-correlation properties, crucial for modern communication and radar systems operating over non-contiguous spectrum.
Contribution
It proposes a unifying construction method for unimodular SCS families using circular Florentine rectangles and interleaving, achieving a tighter correlation lower bound.
Findings
Achieves a new lower bound for periodic correlation of SCSs.
Constructs multiple SCS sets with zero correlation zone properties.
Demonstrates the optimality of the proposed SCS families.
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.
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Taxonomy
TopicsPAPR reduction in OFDM · Coding theory and cryptography · Advanced Wireless Communication Techniques
