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Model assisted time-varying MIMO channel estimation

机译:模型辅助时变MIMO信道估计

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摘要

A novel model assisted channel estimation scheme is proposed to estimate the time-varying MIMO channel. The core idea is that the large number of channel coefficients needed to be estimated by the time-varying channel can be significantly reduced by employing a specific channel model. Two channel models, general basis expansion model and Slepian sequence model, are utilized to estimate the MIMO channel in this paper. The simulation results show that the performance of the proposed scheme is excellent at moderate to high SNR region and that no error-floor is induced when the channel fading is fast.
机译:提出了一种新颖的模型辅助信道估计方案来估计时变MIMO信道。核心思想是,通过采用特定的信道模型,可以大大减少时变信道需要估计的大量信道系数。本文利用通用基础扩展模型和Slepian序列模型这两种信道模型来估计MIMO信道。仿真结果表明,该方案在中等至较高的SNR范围内具有出色的性能,并且在信道衰落很快时不会引起误码层。

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