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Joint Estimation of Symbol Timing and Carrier Frequency Offset of OFDM Signals Over Fast Time-Varying Multipath Channels

机译:快速时变多径信道上OFDM信号的符号定时和载波频率偏移的联合估计

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摘要

In this paper, we present a novel joint algorithm to estimate the symbol timing and carrier frequency offsets of wireless orthogonal frequency division multiplexing (OFDM) signals. To jointly estimate synchronization parameters using the maximum likelihood (ML) criterion, researchers have derived conventional models only from additive white Gaussian noise (AWGN) or single-path fading channels. We develop a general ML estimation algorithm that can accurately calculate symbol timing and carrier frequency offsets over a fast time-varying multipath channel. To reduce overall estimation complexity, the proposed scheme consists of two estimation stages: coarse and fine synchronizations. A low complexity coarse synchronization based on the least-squares (LS) method can rapidly estimate the rough symbol timing and carrier frequency offsets over a fast time-varying multipath channel. The subsequent ML fine synchronization can then obtain accurate final results based on the previous coarse synchronization. Simulations demonstrate that the coarse-to-fine method provides a good tradeoff between estimation accuracy and computational complexity.
机译:在本文中,我们提出了一种新颖的联合算法来估计无线正交频分复用(OFDM)信号的符号定时和载波频率偏移。为了使用最大似然(ML)准则共同估算同步参数,研究人员仅从加性高斯白噪声(AWGN)或单径衰落信道中推导了常规模型。我们开发了一种通用的ML估计算法,该算法可以在快速时变多径信道上准确计算符号定时和载波频率偏移。为了降低总体估计复杂度,提出的方案包括两个估计阶段:粗同步和精同步。基于最小二乘(LS)方法的低复杂度粗同步可以在快速时变多径信道上快速估计粗符号定时和载波频率偏移。然后,后续的ML精细同步可以基于先前的粗同步获得准确的最终结果。仿真表明,从粗到精方法在估计精度和计算复杂度之间提供了良好的折衷。

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