利用Welch Costas阵列构造的最优跳频方向图的正交方向图分割多址

IF 5.3 2区 计算机科学 Q1 TELECOMMUNICATIONS
Jianguo Yao;Rui Jiang;Xiaoming Wang;Ziwei Liu
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引用次数: 0

摘要

研究了Welch Costas阵列的自相关和互相关特性,介绍了在Welch Costas阵列上通过二维循环移位构造具有理想自相关和互相关的最优跳频方向图的方法。此外,还提出了利用这些最优模式的正交模式分多址(OPDMA)。本文研究了这些模式的设计参数与蜂窝系统参数之间的关系,为蜂窝系统用户定制跳频模式。并对所设计图形的自相关和互相关进行了计算和分析,证明了它们的理想特性。讨论了延迟距离和多普勒距离在实现最佳跳频图之间的理想互相关中的作用。OPDMA是一种新型的二维正交多址技术,具有信号抗扰性,能有效克服多径传播、多普勒频移和用户间干扰。这简化了接收机的设计,提高了系统的整体性能,在未来的蜂窝移动通信、跳频通信、雷达和声纳系统中具有潜在的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Orthogonal Pattern Division Multiple Access Utilizing Optimal Frequency Hopping Patterns Constructed With Welch Costas Arrays
This paper explores the autocorrelation and cross-correlation properties of Welch Costas arrays and introduces a method for constructing optimal frequency hopping patterns with ideal autocorrelation and cross-correlation through two-dimensional cyclic shift on a Welch Costas array. Additionally, it proposes orthogonal pattern division multiple access (OPDMA) utilizing these optimal patterns. The paper examines the relationship between the design parameters of these patterns and cellular system parameters, tailoring frequency hopping patterns for cellular system users. Furthermore, it conducts computations and analyses on the autocorrelation and cross-correlation of the designed patterns, demonstrating their ideal properties. It also discusses the role of delay distance and Doppler distance in achieving ideal cross-correlation between the optimal frequency hopping patterns. OPDMA emerges as a novel two-dimensional orthogonal multiple access technology offering signal immunity, effectively overcoming interference from multipath propagation, Doppler shift, and inter-user interference. This simplifies receiver design and enhances overall system performance, presenting potential applications in future cellular mobile communications, frequency hopping communications, radar, and sonar systems.
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来源期刊
IEEE Transactions on Green Communications and Networking
IEEE Transactions on Green Communications and Networking Computer Science-Computer Networks and Communications
CiteScore
9.30
自引率
6.20%
发文量
181
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