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Low-Complexity Channel Estimation for Wireless Block Transmission Systems in Time-and Frequency-Selective Rayleigh Fading Channels

机译:时间和频率选择瑞利衰落信道中无线块传输系统的低复杂度信道估计

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摘要

Mobility-induced Doppler spread and multipath propagation introduce the time- and frequency-selectivity (doubly selectivity) in fading channels. Based on the complex exponential basis expansion model (BEM) to approximate the doubly selective channel (DSC), a low-complexity channel estimation scheme for block transmission systems over DSC are developed in this paper. Using the developed scheme, the long data block is divided into a few short data subblocks in terms of the maximum normalized Doppler frequency and block length, and each subblock is performed to respective channel estimation. Thus the total calculation complexity is effectively decreased because the number of the BEM channel coefficients to estimate is greatly reduced for each sub-block. Moreover, by utilizing these channel estimation values to refit the true channel, we can obtain better channel estimation. Besides, the normalized mean square error (NMSE) expressions for the developed scheme and the existing scheme are derived in detail, respectively. Compared to the existing scheme, the proposed scheme has lower calculation complexity and superior performance. The simulation results verify the effectiveness of the developed scheme, and the theory values of the derived NMSE accord with corresponding simulation values.
机译:移动性引起的多普勒扩展和多径传播在衰落信道中引入了时间选择性和频率选择性(双重选择性)。基于复指数基础扩展模型(BEM)近似双选择信道(DSC),本文提出了一种基于DSC的块传输系统的低复杂度信道估计方案。使用开发的方案,就最大归一化多普勒频率和块长度而言,将长数据块划分为几个短数据子块,并对每个子块执行各自的信道估计。因此,由于对于每个子块而言,要估计的BEM信道系数的数量大大减少,因此总的计算复杂度得以有效降低。此外,通过利用这些信道估计值来重新拟合真实信道,我们可以获得更好的信道估计。此外,分别详细推导了所开发方案和现有方案的归一化均方误差(NMSE)表达式。与现有方案相比,该方案具有较低的计算复杂度和优越的性能。仿真结果验证了所提方案的有效性,所推导的NMSE的理论值与相应的仿真值相符。

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