基于小波边界元的快速时变信道估计

Hua Yang, Jian Xiong, Suyue Li, Lin Gui
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引用次数: 8

摘要

针对快速时变信道的单载波单输入单输出(SC-SISO)系统,提出了一种新的基展开模型(BEM)进行信道估计。与复指数模型和多项式模型相比,小波模型对多普勒频移的影响较小。仿真结果表明,所提出的小波BEM在均方误差信噪比(MSE-SNR)方面分别优于CE和多项式BEM,分别提高了2.5dB和5.0dB左右。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wavelet BEM based channel estimation over rapidly time-varying channels
This paper proposes a novel basis expansion model (BEM) to conduct channel estimation for single carrier single input single output (SC-SISO) systems over rapidly time-varying channels. Compared to complex exponential (CE) and polynomial BEM, wavelet BEM is less vulnerable to Doppler shift. Simulations show that the proposed wavelet BEM outperforms CE and polynomial BEM with about 2.5dB and 5.0dB respectively in terms of the mean square error-signal noise ratio (MSE-SNR) performance.
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