OFDM系统中的贝叶斯CFO估计

Kun Cai, Xiao Li, Yik-Chung Wu
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引用次数: 4

摘要

本文用贝叶斯方法研究了正交频分复用(OFDM)系统中载波频偏估计问题。根据噪声方差的可用性,导出了两个通用CFO估计器。此外,基于不同程度的参数先验信息,将两种一般的最大后验估计器发展为几种特殊情况。全面研究了所提出的估计量与现有估计量之间的关系。最后,数值结果验证了采用不同先验信息对估计性能的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bayesian CFO Estimation in OFDM Systems
This paper addresses the problem of carrier frequency offset (CFO) estimation in orthogonal frequency division multiplexing (OFDM) systems using Bayesian method. Depending on the availability of the noise variance, two general CFO estimators are derived. Furthermore, the two general maximum a posteriori (MAP) estimators are developed into several special cases based on different degrees of prior information on parameters. The relationships between the proposed estimators and existing estimators are comprehensively investigated. Finally, numerical results demonstrate the effects of employing different prior information on the estimation performances.
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