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Modeling fading channel-estimation errors in pilot-symbol-assisted systems, with application to turbo codes

机译:在导频符号辅助系统中建模衰落信道估计误差,并将其应用于turbo码

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摘要

In this paper, we address the issue of imperfect channel estimation in coded systems on fading channels. Since performance of channel codes is influenced in different ways by different components of channel-estimation errors, we develop a simplified model which separates the estimation errors of a Wiener-filtered received signal into the amplitude error and the phase error. Based on the model, we derive tight bounds on component error variances. Moreover, we prove that the classical Wiener filter results in a biased estimate of the channel amplitude. We also show that the probability of having a phase-estimation error large enough to cause decision errors in the receiver is significant. Using our model, we derive an approximate upper limit on the optimum pilot-symbol spacing and approximate lower limit on bit-error rate performance of coded systems with a given pilot-symbol separation. The proposed model and derivations are confirmed by extensive simulations.
机译:在本文中,我们解决了衰落信道上编码系统中信道估计不完善的问题。由于信道编码的性能受信道估计误差的不同成分以不同的方式影响,因此我们开发了一种简化的模型,该模型将维纳滤波后的接收信号的估计误差分为幅度误差和相位误差。基于该模型,我们得出组件误差方差的严格边界。此外,我们证明了经典的维纳滤波器会导致信道幅度的估计偏差。我们还表明,相位估计误差大到足以在接收机中引起决策误差的可能性非常大。使用我们的模型,我们可以得出最佳导频符号间隔的近似上限,以及在给定导频符号间隔的情况下编码系统的误码率性能的近似下限。所提出的模型和推导得到了广泛的仿真证实。

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