Joint estimation of synchronization impairments in MIMO-OFDM system

R. Jose, K. Hari
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引用次数: 11

Abstract

A joint Maximum Likelihood (ML) estimation algorithm for the synchronization impairments such as Carrier Frequency Offset (CFO), Sampling Frequency Offset (SFO) and Symbol Timing Error (STE) in single user MIMO-OFDM system is investigated in this work. A received signal model that takes into account the nonlinear effects of CFO, SFO, STE and Channel Impulse Response (CIR) is formulated. Based on the signal model, a joint ML estimation algorithm is proposed. Cramer-Rao Lower Bound (CRLB) for the continuous parameters CFO and SFO is derived for the cases of with and without channel response effects and is used to compare the effect of coupling between different estimated parameters. The performance of the estimation method is studied through numerical simulations.
MIMO-OFDM系统同步损伤的联合估计
研究了单用户MIMO-OFDM系统中载波频偏(CFO)、采样频偏(SFO)和符号时序误差(STE)等同步缺陷的联合最大似然估计算法。建立了一种考虑了CFO、SFO、STE和信道脉冲响应(CIR)非线性效应的接收信号模型。基于信号模型,提出了一种联合ML估计算法。在有信道响应效应和无信道响应效应的情况下,导出了连续参数CFO和SFO的Cramer-Rao下界(CRLB),用于比较不同估计参数之间耦合的效果。通过数值仿真研究了该估计方法的性能。
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