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首页> 外文期刊>International journal of communication systems >Compressive sensing for ultra-wideband channel estimation: on the sparsity assumption of ultra-wideband channels
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Compressive sensing for ultra-wideband channel estimation: on the sparsity assumption of ultra-wideband channels

机译：用于超宽带信道估计的压缩感测：基于超宽带信道的稀疏性假设

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Due to the sparse structure of ultra-wideband (UWB) multipath channels, there has been a considerable amount of interest in applying the compressive sensing (CS) theory to UWB channel estimation. The main consideration of the related studies is to propose different implementations of the CS theory for the estimation of UWB channels, which are assumed to be sparse. In this study, we investigate the suitability of standardized UWB channel models to be used with the CS theory. In other words, we question the sparsity assumption of realistic UWB multipath channels. For that, we particularly investigate the effects of IEEE 802.15.4a UWB channel models and the selection of channel resolution both on channel estimation and system performances from a practical implementation point of view. In addition, we compare the channel estimation performance with the Cramer-Rao lower bound for various channel models and number of measurements. The study shows that although UWB channel models for residential environments (e.g., channel models CM1 and CM2) exhibit a sparse structure yielding a reasonable channel estimation performance, channel models for industrial environments (e.g., CM8) may not be treated as having a sparse structure due to multipaths arriving densely. Furthermore, it is shown that the sparsity increased by channel resolution can improve the channel estimation performance significantly at the expense of increased receiver processing. Copyright (c) 2013 John Wiley & Sons, Ltd.
机译：由于超宽带（UWB）多径信道的稀疏结构，将压缩感测（CS）理论应用于UWB信道估计引起了人们的极大兴趣。相关研究的主要考虑是提出CS理论的不同实现方式，以估计UWB信道的稀疏性。在这项研究中，我们调查与CS理论一起使用的标准化UWB信道模型的适用性。换句话说，我们质疑现实的UWB多径信道的稀疏性假设。为此，我们特别从实际实现的角度研究了IEEE 802.15.4a UWB信道模型的影响以及信道分辨率的选择对信道估计和系统性能的影响。此外，我们将各种信道模型和测量次数的信道估计性能与Cramer-Rao下限进行了比较。研究表明，尽管用于居住环境的UWB信道模型（例如，信道模型CM1和CM2）显示的稀疏结构产生了合理的信道估计性能，但是用于工业环境的信道模型（例如，CM8）可能不会被视为具有稀疏结构由于多路径密集到达。此外，显示出由信道分辨率增加的稀疏性可以以增加的接收机处理为代价来显着改善信道估计性能。版权所有（c）2013 John Wiley＆Sons，Ltd.

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