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引用次数: 2
摘要
本文分析了时变信道中两个相关信道估计器的均方误差(MSE)。两个估计器都使用了近似时变信道的正交基函数。第一个近似是基于一组时移矩形基(RB)函数。第二种近似方法利用了Slepian基函数。我们计算使rb -和sb -方法的MSE最小的基函数的数量。这两个估计器都是为全速度范围设计的,只使用最大速度作为设计参数。进一步,我们将这两个估计器应用于UMTS的高速下行分组接入(HSDPA)模式,并说明了MSE对吞吐量的影响。使用sb方法,我们观察到在具有五个抽头的i.i.d瑞利多径信道的情况下,rb函数的增益大约为0.4 dB
Estimators for Time-Variant Channels Applied to UMTS-HSDPA
In this work we analyze the mean-square error (MSE) of two correlative channel estimators in time-variant channels. Both estimators make use of orthogonal basis functions that approximate the time-variant channel. The first approximation is based on a set of time shifted rectangular basis (RB) functions. The second approximation makes use of Slepian basis (SB) functions. We calculate the number of basis functions that minimize the MSE for the RB-and the SB-approach. Both estimators are designed for the full velocity range using the maximum velocity as design parameter only. Further, we apply the two estimators to the high-speed downlink packet access (HSDPA) mode of UMTS and illustrate the impact of the MSE on the throughput. With the SB-approach we observe a gain of roughly 0.4 dB over the RB-functions in case of an i.i.d. Rayleigh multipath channel with five taps