Performance study of a reduced complexity time synchronization approach for OFDM systems

Leila Nasraoui, L. N. Atallah, M. Siala
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引用次数: 4

Abstract

This paper presents a performance analysis of a recently proposed preamble based reduced complexity two-stage synchronization technique. The preamble, composed of two identical sub-sequences, is first used to determine an uncertainty interval based on Cox and Schmidl algorithm. Then, a differential correlation is carried using a new sub-sequence obtained by element wise multiplication of the preamble sub-sequence and a shifted version of it. This second step is exploited to fine tune the coarse estimate by carrying the differential correlation over the uncertainty interval. We here study the effect of the training sequence choice on the synchronization performance in the general case of multipath channels. We also discuss some complexity issues compared to previously proposed algorithms. We show that the frame start detection is greatly sensitive to the training sequence class and choice. Computational load evaluation ensure that the reduced complexity approach, which was found to provide almost equal performance to those obtained by higher complexity algorithms in [10, 11], has much lower complexity load comparable to that of simple sliding correlation based approaches. To further reduce the computational load, an optimal choice of the uncertainty interval, used in the fine stage, can also be adapted to the operating SNR.
OFDM系统低复杂度时间同步方法的性能研究
本文对最近提出的一种基于序言的低复杂度两阶段同步技术进行了性能分析。首先利用由两个相同子序列组成的序段,基于Cox和Schmidl算法确定不确定性区间。然后,利用前置子序列与移位子序列的逐元乘法得到的新子序列进行微分相关。第二步是通过在不确定性区间上携带微分相关性来微调粗估计。本文研究了在多径信道的一般情况下,训练序列选择对同步性能的影响。与之前提出的算法相比,我们还讨论了一些复杂性问题。结果表明,帧启动检测对训练序列的分类和选择非常敏感。计算负载评估确保降低复杂度的方法具有比基于简单滑动相关的方法低得多的复杂性负载,而[10,11]中发现的降低复杂度方法提供的性能与高复杂度算法几乎相同。为了进一步减少计算量,在精细阶段使用的不确定性区间的最优选择也可以适应工作信噪比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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