OFDM的分布式多天线载波和采样频率同步

J. Kleider, Xiaoli Ma, Chris Steenhoek
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引用次数: 3

摘要

多天线系统已被证明可以为网络节点提供显著的性能改进;然而,由于移动性(尺寸和功率)和易用性考虑,军事网络中的绝大多数节点将仅限于单通道设备。本文将一种新的联合同步导频序列(JSPS)优化设计技术应用于多发射机OFDM系统。我们考虑了发射机可以在空间中共存或分布的情况(即多个单通道发射机)。针对多天线系统中的每个发射机设计了独立的JSPSs,可用于独立估计每个天线的载波频偏(CFO)和采样频偏(SFO)。我们研究了CFO和SFO估计的均方误差(MSE),并将我们的估计器的性能与AWGN信道的封闭形式解决方案进行了比较。我们表明,我们提出的迭代估计器在分布式CFO和SFO估计情况下的性能近似等同于共定位CFO和SFO估计情况下的估计性能。分布式情况下的迭代估计器也具有较低的复杂度,其复杂度仅比同位估计器线性增加。我们还通过仿真测量了分布式瑞利衰落多径信道CFO估计器的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed multiple antenna carrier- and sampling-frequency synchronization for OFDM
Multiple antenna systems have been shown to provide significant performance improvements for network nodes; however, the vast majority of nodes in military networks will be limited to single channel devices due to mobility (size and power) and ease of use considerations. In this paper we apply a new joint synchronization-pilot sequence (JSPS) optimization design technique to multiple transmitter OFDM systems. We consider the cases where the transmitters could be co-located or distributed (i.e. multiple single-channel transmitters) in space. Independent JSPSs are designed for each transmitter in a multiple antenna system and can be utilized to estimate the carrier frequency offset (CFO) and sampling frequency offset (SFO) of each antenna independently. We study the mean square error (MSE) for the estimation of CFO and SFO and compare the performance of our estimators to a closed form solution for AWGN channels. We show that the performance of our proposed iterative estimators for distributed CFO and SFO estimation is approximately equivalent to the estimation performance in the co-located CFO and SFO estimation case. The iterative estimator for the distributed case is also found to be of low complexity, with only a linear complexity increase over the co-located estimator. We have also measured, via simulation, the performance of the CFO estimator for distributed Rayleigh fading multipath channels.
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