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首页> 外文期刊>IEEE Transactions on Signal Processing >Joint Sampling Clock Offset and Channel Estimation for OFDM Signals: Cramer-Rao Bound and Algorithms
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Joint Sampling Clock Offset and Channel Estimation for OFDM Signals: Cramer-Rao Bound and Algorithms

机译:OFDM信号的联合采样时钟偏移和信道估计:Cramer-Rao界和算法

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摘要

This paper considers the problem of sampling clock synchronization and channel estimation for orthogonal-frequency-division multiplex (OFDM) systems. In such systems, when the number of subcarriers is large, a sampling clock frequency mismatch between the transmitter and the receiver dramatically degrades the performance. So far, the literature proposes ad hoc estimation algorithms. However, a complete performance analysis, especially the Cramer-Rao bound (CRB) derivation, remains to be done. Obviously, the channel-impulse response is unknown at the receiver and also needs to be estimated. Therefore, the CRB associated with this joint estimation is theoretically evaluated. When the number of subcarriers and the channel degree are large, very compact closed-form expressions for the CRB are obtained. Furthermore, along with the maximum-likelihood (ML) estimator, suboptimal estimation algorithms are introduced and compared with some existing approaches and with the CRB.
机译:本文考虑了正交频分复用(OFDM)系统的采样时钟同步和信道估计问题。在这样的系统中,当子载波的数量很大时,发送器和接收器之间的采样时钟频率失配会大大降低性能。到目前为止,文献提出了临时估计算法。但是,仍然需要进行完整的性能分析,尤其是Cramer-Rao界(CRB)推导。显然,信道脉冲响应在接收器处是未知的,因此也需要进行估计。因此,从理论上评估了与该联合估计关联的CRB。当子载波的数量和信道度较大时,可以获得非常紧凑的CRB闭式表达式。此外,与最大似然(ML)估计器一起,引入了次优估计算法,并将其与一些现有方法以及CRB进行了比较。

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