Peng, Xiuping and Wu, Congying and Liu, Zilong and Li, Chunlei and Zhang, Jianye and Li, Xiangjun and Fan, Pingzhi (2025) Zak-Transform-Induced Optimal Sequences and Their Applications in OTFS. IEEE Transactions on Communications. (In Press)
Peng, Xiuping and Wu, Congying and Liu, Zilong and Li, Chunlei and Zhang, Jianye and Li, Xiangjun and Fan, Pingzhi (2025) Zak-Transform-Induced Optimal Sequences and Their Applications in OTFS. IEEE Transactions on Communications. (In Press)
Peng, Xiuping and Wu, Congying and Liu, Zilong and Li, Chunlei and Zhang, Jianye and Li, Xiangjun and Fan, Pingzhi (2025) Zak-Transform-Induced Optimal Sequences and Their Applications in OTFS. IEEE Transactions on Communications. (In Press)
Abstract
This paper introduces a novel finite Zak transform (FZT)-aided framework for constructing multiple zero-correlation zone (ZCZ) sequence sets with optimal correlation properties. Specifically, each sequence is perfect with zero auto-correlation sidelobes, each ZCZ sequence set meets the Tang- Fan-Matsufuji bound with equality, and the maximum inter-set cross-correlation of multiple sequence sets meets the Sarwate bound with equality. Our study shows that these sequences can be sparsely expressed in the Zak domain through properly selected index and phase matrices. Particularly, it is found that the maximum inter-set cross-correlation beats the Sarwate bound if every index matrix is a circular Florentine array. Several construction methods of multiple ZCZ sequence sets are proposed, demonstrating both the optimality and high flexibility. Additionally, it is shown that excellent synchronization performance can be achieved by the proposed sequences in orthogonal-time- frequency-space (OTFS) systems.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Perfect sequences; Zak transform; multiple ZCZ sequence sets; Sarwate bound; cyclically distinct; inter-set crosscorrelation |
| Subjects: | Z Bibliography. Library Science. Information Resources > ZR Rights Retention |
| 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: | 26 Jan 2026 13:59 |
| Last Modified: | 26 Jan 2026 14:00 |
| URI: | http://repository.essex.ac.uk/id/eprint/42655 |
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