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首页> 外文期刊>Antennas and Propagation, IEEE Transactions on >Modeling the Frequency Dependence of Ultra-Wideband Spatio-Temporal Indoor Radio Channels
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Modeling the Frequency Dependence of Ultra-Wideband Spatio-Temporal Indoor Radio Channels

机译:建模超宽带时空室内无线电信道的频率依赖性

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In ultra-wideband (UWB) wireless propagation channels, each multipath component (MPC) can exhibit delay dispersion or, equivalently, frequency dependence; even more, this dispersion can be different for different MPCs. While this effect is understood to have important implications for UWB system design, extraction of the frequency-dependence parameters from measurements has been lacking. This paper will provide both the theoretical tools for the parameter extraction, and provide experimental results of such parameters in UWB indoor channels. We first develop a method that extracts a single MPC. Based on the image principle, the method identifies locations and intensity of radio sources including both original and image sources (corresponding to MPCs) by a distributed antenna array. We show that the method provides spatial resolution better than 0.5 m and is robust against possible measurement errors. Having applied the method to the measured channels in indoor line-of-sight scenarios, we track the detected image sources over (partially overlapping) frequency subbands to obtain frequency dependent properties of their intensity and location. The variation of the source intensity over the frequency was found to be significant. Furthermore, the locations of the image sources can vary as the frequency changes. Comparison of the results with models that do not describe varying per-path frequency dependence revealed noticeable difference in the shape of the CIRs, and as a result, in the delay spread and the number of significant delay bins for Rake reception.
机译:在超宽带(UWB)无线传播信道中,每个多径组件(MPC)都可能表现出延迟分散或等效的频率依赖性。甚至更多,对于不同的MPC,这种分散可能会有所不同。虽然这种影响被认为对UWB系统设计具有重要意义,但仍缺乏从测量中提取频率相关参数的方法。本文将提供参数提取的理论工具,并提供超宽带室内信道中此类参数的实验结果。我们首先开发一种提取单个MPC的方法。基于图像原理,该方法通过分布式天线阵列识别包括原始和图像源(对应于MPC)的无线电源的位置和强度。我们表明,该方法提供的空间分辨率优于0.5 m,并且对于可能的测量误差具有鲁棒性。在将方法应用于室内视线场景中的测量通道后,我们在(部分重叠)的子频带上跟踪检测到的图像源,以获得其强度和位置的频率相关属性。发现光源强度随频率变化很大。此外,图像源的位置可以随着频率变化而变化。将结果与未描述变化的每路径频率依赖性的模型进行比较后,发现CIR的形状存在显着差异,因此,延迟扩展和用于Rake接收的重要延迟仓数也有所不同。

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