OFDM信号盲定时同步干扰分析

H. Huh
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引用次数: 0

摘要

对于OFDM系统,链路性能严重依赖于频率偏移估计。由于符号定时必须在其他同步之前完成,因此完美的定时估计是更好的频率估计的先决条件。在定时同步方面,最小干扰功率(MIP)算法可以作为非数据辅助定时恢复的一个很好的候选。为了使用MIP作为定时同步的度量,干扰应该是定时误差的函数,并且很容易从期望的信号中分离出来。在本文中,我们提出了一种用于符号时序的MIP算法,其中通过对带限接收信号进行过采样并对过采样序列进行离散傅里叶变换(DFT)来实现干扰分量的提取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interference analysis of OFDM signals for blind timing synchronization
For OFDM systems, link performance heavily depends on frequency-offset estimation. Since symbol timing must be done before other synchronization, perfect timing estimate is a prerequisite for the better frequency estimation. As to timing synchronization, minimum interference power (MIP) algorithm can be a good candidate for a non-data-aided timing recovery. In order to use MIP as a metric for timing synchronization, interference should be a function of timing errors and be easily separated from desired signals. In this paper, we propose a MIP algorithm for symbol timing where the extraction of interference components is implemented by oversampling the band-limited received signals and performing discrete Fourier transform (DFT) for the oversampled sequence.
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