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Adaptive Joint Frame Synchronization and Carrier Frequency Offset Estimation for OFDM using Central Symmetric Partial Sub-blocks (CSPS) training sequence

机译:使用中央对称部分子块(CSPS)训练序列的OFDM自适应联合帧同步和载波频率偏移估计

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摘要

Central Symmetric with Partial Sub-blocks (CSPS) training sequence is proposed to optimize the synchronization performance in OFDM systems. The proposed CSPS is composed of two Identical-Length training symbols. We first generate its first training symbol and logically divide it into M continuous Identical-Length sub-blocks. After that, all these sub-blocks are copied and arranged in reverse order to generate the second training symbol. Based on the CSPS, a two-phase synchronization, i.e. Initial Acquisition and Adaptive Tracking, can be performed. In the Initial Acquisition phase, accurate frame synchronization and carrier frequency offset acquisition are performed simultaneously. Then an Adaptive Tracking algorithm can be performed based on the proposed CSPS to further estimate the remaining carrier frequency offset. The parameter M can be adaptively optimized according to multipath wireless channel condition. Considerable performance improvement over Moose's algorithm can be achieved in the proposed CSPS-based algorithm, with respect to both accuracy and computational complexity (C&A).
机译:提出了带有部分子块的中央对称训练序列,以优化OFDM系统的同步性能。建议的CSPS由两个相同长度的训练符号组成。我们首先生成其第一个训练符号,并将其逻辑上划分为M个连续的等长子块。之后,所有这些子块被复制并以相反的顺序排列以生成第二训练符号。基于CSPS,可以执行两阶段同步,即初始获取和自适应跟踪。在初始采集阶段,同时执行精确的帧同步和载波频率偏移采集。然后可以基于所提出的CSPS执行自适应跟踪算法,以进一步估计剩余载波频率偏移。可以根据多径无线信道条件来自适应地优化参数M。在拟议的基于CSPS的算法中,就准确性和计算复杂性(C&A)而言,都可以在Moose算法上实现相当大的性能改进。

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