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A statistical model of space-time radio propagation in indoor environments

机译:室内环境中时空无线电传播的统计模型

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Previously, simulation algorithms based upon the ray tracing technique have provided the only means for developing a detailed description of the joint space-time properties of microwave radio propagation. Although widely accepted, ray tracing suffers several drawbacks, such as the need for an accurate physical database, and precise knowledge of the site-specific construction parameters. This paper describes an empirical study conducted in two distinct indoor environments. The study comprised the acquisition of 500 data sets using an antenna array, and the high-resolution post-processing of each to recover its space-time impulse response. The results of the study are used to derive a new statistical channel model, suitable for performance analysis of smart antenna and geolocation systems. The accuracy of the new model is evaluated by comparing it with the sample statistics, as well as two other models which have been previously proposed.
机译:以前,基于射线跟踪技术的仿真算法已提供了开发详细描述微波无线电传播联合时空特性的唯一手段。射线追踪虽然已被广泛接受,但仍存在一些缺点,例如需要精确的物理数据库以及对特定地点的施工参数的精确了解。本文介绍了在两个不同的室内环境中进行的实证研究。该研究包括使用天线阵列采集500个数据集,并对每个数据集进行高分辨率后处理以恢复其时空脉冲响应。研究结果用于推导新的统计信道模型,适用于智能天线和地理定位系统的性能分析。通过将新模型与样本统计数据以及之前已经提出的其他两个模型进行比较,可以评估新模型的准确性。

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