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首页> 外文期刊>Wireless personal communications: An Internaional Journal >Time Domain Channel Estimation for MIMO-FBMC/OQAM Systems
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Time Domain Channel Estimation for MIMO-FBMC/OQAM Systems

机译:MIMO-FBMC / OQAM系统的时域信道估计

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摘要

In this paper, a general preamble-based time domain channel estimation model for multiple-input multiple-output (MIMO)-filter bank multicarrier (FBMC) system based on offset quadrature amplitude modulation (OQAM) is derived. In contrast to the conventional frequency domain interference approximation method (IAM)-based channel estimation model, the derived time domain model does not require symbol time to be sufficiently longer than the maximum channel delay spread, viz. the derived time domain model does not require the channel to be frequency flat. Based on the time domain model, the weighted least squares (WLS) and minimum mean square error (MMSE) channel estimators for MIMO-FBMC/OQAM systems are investigated. The Cramer-Rao lower bound for the WLS, MMSE and IAM estimators are derived. It is shown numerically that all the estimators achieve their respective bounds, and the proposed WLS and MMSE estimators significantly outperform the existing IAM channel estimator. The comparison of the bit error rate performance of the aforementioned estimators also validates our work.
机译:在本文中,导出了一种基于偏移正交幅度调制(OQAM)的多输入多输出(MIMO)-Filter Bank多载波(FBMC)系统的一般前导码的时域信道估计模型。与传统的频域干扰近似方法(基于IAM)的信道估计模型相比,导出的时域模型不需要符号时间足够长于最大信道延迟扩展VIZ。导出的时域模型不需要频率为频率平。基于时域模型,研究了用于MIMO-FBMC / OQAM系统的加权最小二乘(WL)和最小平均方误差(MMSE)信道估计。推导出WLS,MMSE和IAM估计的克拉默 - RAO下限。它在数值上示出的是,所有估计器都能实现各自的范围,并且所提出的WLS和MMSE估计显着优于现有的IAM通道估计。上述估计器的误码率性能的比较也验证了我们的工作。

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