Systems Engineering and Electronics ›› 2024, Vol. 46 ›› Issue (10): 3577-3585.doi: 10.12305/j.issn.1001-506X.2024.10.34

• Communications and Networks • Previous Articles    

Construction of uncorrelated multiple-subset zero correlation zone sequence sets

Li CUI1,2,*, Chengqian XU1   

  1. 1. Shool of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China
    2. School of Mathematics and Information Science and Technology, Hebei Normal University of Science and Technology, Qinhuangdao 066004, China
  • Received:2022-12-27 Online:2024-09-25 Published:2024-10-22
  • Contact: Li CUI

Abstract:

In multi-cell quasi-synchronous code-division multiple-access (QS-CDMA) systems, uncorrelated multiple-subset zero correlation zone (ZCZ) sequence sets can not only eliminate signal interference in the same cell within a certain time delay, but also eliminate signal interference from adjacent cells completely. Two construction methods are designed to solve the problem that how to construct multiple-subset ZCZ sequence sets based on paraunitary (PU) matrices. Specifically, by constructing multiple initial matrices with certain characteristics, combined with the PU matrices, different initial matrices are used to yield different ZCZ sequence sets. Furthermore, the obtained ZCZ sequence sets are uncorrelated with each other. The key idea of the construction methods is the design of the multiple initial matrices. Construction method 1 is realized by dividing and stacking the discrete Fourier transform (DFT) matrices, and construction method 2 is implemented by the existing uncorrelated multiple-subset ZCZ sequence sets. The parameter performance of the construction results obtained by the two methods is close to optimal, which provides a new sequence design method for solving the interference suppression problem in a multi-cell environment.

Key words: quasi-synchronous code-division multiple-access (QS-CDMA) system, zero correlation zone (ZCZ), multiple-subset ZCZ sequence sets, paraunitary matrix

CLC Number: 

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