Comparison and Analysis of Ricean $K$-Factor Estimators in Industrial Wireless Channels

Álvaro Medeiros, V. Cionca
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Abstract

The performance constraints imposed to the use of wireless communications on industrial applications collide with the severe propagation conditions of such adverse environment. The small-scale variations due to multipath and mobility of transceiver and/or scatterers must be characterized properly in order to select the most suitable fading mitigation technique. An important parameter related to the nature of the multipath components is the Rician $K$ -factor, which can be obtained from both channel impulse response and received power level time series, also known as wideband and narrowband methods. At runtime narrowband methods are straightforward due to the reduced capability of operational wireless transceivers. In this paper, we analyze wireless channel measurements of different industrial scenarios in order to compare $K$ -factor estimators. Results indicate similarities between narrowband and a wideband $K$ -factor estimator, which means accurate channel characterization at operational time is possible. Additionally, an application example evaluates the $K$ -factor estimation on the performance of wireless communication systems.
工业无线信道中Ricean $K$因子估计器的比较与分析
无线通信在工业应用中的性能限制与这种恶劣环境的恶劣传播条件发生了冲突。为了选择最合适的衰落减缓技术,必须对收发器和/或散射体的多径和迁移性引起的小尺度变化进行适当的表征。与多径分量性质相关的一个重要参数是系数,它可以从信道脉冲响应和接收功率电平时间序列中获得,也称为宽带和窄带方法。在运行时,由于操作无线收发器的能力下降,窄带方法是直接的。在本文中,我们分析了不同工业场景的无线信道测量,以比较$K$因子估计器。结果表明窄带和宽带K因子估计器之间存在相似性,这意味着在运行时可以精确地表征信道。另外,通过一个应用实例评估了K因子估计对无线通信系统性能的影响。
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