基于扩展场的具有理想自相关特性的戈隆-科斯塔斯阵列构造研究

IF 1.5 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Jianguo Yao, Ziwei Liu, Xiaoming Wang
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引用次数: 0

摘要

本文提出了一种特定的代数结构,并证明了它作为扩展域的性质,从而能够构建戈隆-科斯塔斯(GC)数组。本文提供了使用该扩展域构建 GC 阵列的详细说明和示例,以及相应的流程图。此外,论文还结合计算和比较进行了全面分析,以评估由扩展场导出的 GC 阵列与对角跳频阵列相比的自相关性。分析表明,基于扩展场的 GC 阵列具有更优越的自相关特性。此外,论文还建立了跳频阵列编码信号的数学模型,随后模拟并比较了 GC 阵列编码信号与对角跳频阵列编码信号的模糊函数。这种比较强调了用 GC 阵列编码的跳频信号的拇指槌模糊函数。此外,论文还深入研究了 GC 阵列的相关函数与有限场中代数方程根之间的关系,并严格证明了戈隆-科斯塔斯阵列的理想自相关特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Study of construction of Golomb Costas arrays with ideal autocorrelation properties based on extension field

Study of construction of Golomb Costas arrays with ideal autocorrelation properties based on extension field

This paper proposes a specific algebraic structure and demonstrates its nature as an extension field, enabling the construction of Golomb Costas (GC) arrays. It provides detailed instructions and examples for constructing GC arrays using this extension field, along with a corresponding flowchart. Additionally, the paper conducts a thorough analysis, incorporating calculations and comparisons, to evaluate the autocorrelation of a GC array derived from the extension field compared to that of a diagonal frequency hopping array. The analysis reveals the superior autocorrelation properties of GC arrays based on the extension field. Furthermore, the paper establishes a mathematical model for the signal coded by the frequency hopping array and subsequently simulates and compares the ambiguity function of the signal coded by a GC array with that of a signal coded by a diagonal frequency hopping array. This comparison underscores the thumbtack ambiguity function of frequency hopping signal coded by a GC array. Moreover, the paper thoroughly investigates the relationship between the correlation function of GC arrays and the roots of an algebraic equation in a finite field, and strictly proves the ideal autocorrelation properties of Golomb Costas arrays.

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来源期刊
IET Communications
IET Communications 工程技术-工程:电子与电气
CiteScore
4.30
自引率
6.20%
发文量
220
审稿时长
5.9 months
期刊介绍: IET Communications covers the fundamental and generic research for a better understanding of communication technologies to harness the signals for better performing communication systems using various wired and/or wireless media. This Journal is particularly interested in research papers reporting novel solutions to the dominating problems of noise, interference, timing and errors for reduction systems deficiencies such as wasting scarce resources such as spectra, energy and bandwidth. Topics include, but are not limited to: Coding and Communication Theory; Modulation and Signal Design; Wired, Wireless and Optical Communication; Communication System Special Issues. Current Call for Papers: Cognitive and AI-enabled Wireless and Mobile - https://digital-library.theiet.org/files/IET_COM_CFP_CAWM.pdf UAV-Enabled Mobile Edge Computing - https://digital-library.theiet.org/files/IET_COM_CFP_UAV.pdf
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