Predictor performance of decision-directed channel estimation in 3GPP MIMO channels

P. Beinschob, U. Zolzer
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引用次数: 0

Abstract

OFDM-based multi antenna systems suffer from inaccurate channel estimates in time variant channels which lead eventually to performance degradation. Decision-directed channel estimation (DDCE) schemes have been proposed to reduce the number of reference symbols. A prediction of channel coefficients is necessary for MIMO detection, whose output is used to acquire new channel estimates recursively. Three approaches to predict channel coefficients are investigated in this work. For validation simulation were conducted with the 3GPP spatial channel model. Channel estimation and prediction accuracy for mobile terminals in a range of velocities and Signal to Noise Ratios were evaluated. Even though the predictors vary strong in computational complexity it is shown in this work the performance benefit of complicated approaches remains small in a variety of channel states.
决策导向的3GPP MIMO信道估计的预测器性能
基于ofdm的多天线系统在时变信道中存在信道估计不准确的问题,最终导致系统性能下降。为了减少参考符号的数量,提出了决策导向信道估计(DDCE)方案。信道系数的预测是MIMO检测的必要条件,其输出用于递归地获取新的信道估计。本文研究了三种预测通道系数的方法。为了验证这一点,采用3GPP空间信道模型进行了仿真。对移动终端在一定速度和信噪比范围内的信道估计和预测精度进行了评价。尽管预测器的计算复杂度变化很大,但在本研究中表明,复杂方法的性能优势在各种通道状态下仍然很小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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