超宽带信道的伪迹路径去除算法

Y. Zahedi, R. Ngah
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引用次数: 0

摘要

通道脉冲响应(CIRs)是基于反卷积过程从测量波形中提取出来的。在超宽带(UWB)通信的情况下,使用一些反褶积算法从测量的UWB波形中提取CIRs,其中CLEAN反褶积算法是这方面的一个众所周知的过程。然而,UWB CIRs的提取大多容易出现错误,这些错误在提取的CIRs中显示为工件路径。这些工件路径表示为cirr中的多路径组件。为了获得更精确的CIRs,需要消除工件路径。在这项工作中,开发了一种算法来删除由于使用CLEAN而在UWB CIRs中可用的生成的工件路径。基于椭圆建模的思想,提出了一种适用于宽带信道的伪迹路径去除算法。结果表明,APR算法成功地去除了超宽带CIRs中的伪路径。此外,由于去除这些较弱的路径,接收功率略有增强。
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Artifact Paths Removal Algorithm for Ultra-wideband Channels
Channel impulse responses (CIRs) are extracted from measured waveforms based on a deconvolution process. In the case of Ultrawideband (UWB) communications, CIRs are extracted from measured UWB waveforms using some deconvolution algorithms, where CLEAN deconvolution algorithm is a well-known procedure for this aspect. However, the extraction of UWB CIRs is mostly prone to errors that are shown as artifact paths in the extracted CIRs. These artifact paths are represented as multipath components within the CIRs. In order to obtain more accurate CIRs, the artifact paths need to be eliminated. In this work, an algorithm is developed to remove the generated artifact paths available within UWB CIRs due to CLEAN utilization. The artifact paths removal (APR) algorithm has been developed based on the elliptical modeling concept applied for wideband channels. Results show that the APR algorithm has successfully removed the artifact paths from UWB CIRs. Moreover, a slight enhancement of the received power has been seen due to the removal of these weaker paths.
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