Zadoff-Chu序列的诱导相关性

Tae-Kyo Lee, Kyeongcheol Yang
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引用次数: 2

摘要

对序列的诱导相关定义为给定对中一个线性相移序列与另一个线性相移序列之间的全周期相关。这一概念被引入到它们的部分周期相关性分析中,这是所使用的通信系统的一个重要性能度量。本文用变换方法研究了Zadoff-Chu序列的诱导相关性。对于一对Zadoff-Chu序列,我们首先计算了它们的诱导相关谱。通过对这些频谱进行离散傅里叶反变换(IDFT),然后我们以封闭形式推导出它们的诱导相关性。结果表明,它们的诱导相关性可以看作是较小周期的扩展和缩放的Zadoff-Chu序列。我们的方法不仅给出了Zadoff-Chu序列的诱导相关性的大小,而且还给出了适用于计算其部分周期相关性的相位信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The induced correlations of Zadoff-Chu sequences
The induced correlations of a pair of sequences are defined as the full-period correlations between the linear phase-shifting sequences of one of the given pair and the other one. This concept was introduced in the analysis of their partial-period correlations which are an important performance measurement of the employed communication system. In this paper, we investigate the induced correlations of Zadoff-Chu sequences in a transform approach. For a pair of Zadoff-Chu sequences, we first compute the spectrums of their induced correlations. By taking the inverse discrete Fourier transform (IDFT) on these spectrums, we then derive their induced correlations in a closed form. As a result, we show that their induced correlations can be viewed as expanded and scaled Zadoff-Chu sequences of a smaller period. Not only does our approach give the magnitudes of the induced correlations of Zadoff-Chu sequences, but it also gives the phase information which is applicable to computation of their partial-period correlations.
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