A multipath component distance (MCD)-based automatic clustering identification algorithm is proposed to group multipath components (MPCs) obtained from radio channels. The developed algorithm iteratively and dynamically assigns the MPCs to the best cluster thanks to the MCD metric. Its performance and robustness are compared with the K-means MCD algorithm using cluster data simulated with four reference scenarios of the WINNER II channel model. The results indicate that K-means MCD is outperformed for all investigated scenarios in spite of its having a lower computational complexity and faster convergence. Moreover, a by-product of the algorithm is an optimal MCD threshold, that is, the characteristic of the cluster statistical properties for a given propagation scenario. This parameter provides a stronger physical link between the MPCs distribution and the propagation scenario. Therefore, it could be introduced in radio channel models with clusterlike features.
Abstract-A comprehensive polarimetric distance-dependent model of the power delay profile (PDP) and path gain is proposed. The model includes both Specular Multipath Components (SMC) and Dense Multipath Components (DMC); the latter being modeled with an exponential and power law. The parameters of the model were estimated from polarimetric measurements of a large hall radio channel under Line-Of-Sight (LOS) conditions at 1.3 GHz with a dedicated procedure. The validity and robustness of the proposed approach is provided by the good agreement between the polarimetric data and models for the investigated transmitter-receiver distance range. Furthermore, the description of the radio channel with path loss models is discussed for cases where the DMC is included and a two-step method to compute the path loss characteristics directly from the measured data is developed. The results of this contribution highlight the fact that a complete polarimetric description of all propagation mechanisms and related path loss models is desired to design faithful polarimetric radio channel models.Index Terms-Polarimetric measurement, Distance-dependent channel model, Indoor environment, Dense multipath component, path loss model.
Abstract-A full-polarimetric model of the power delay profile (PDP) is proposed in a large hall scenario and validated with polarimetric measurements of a large open hall radio channel under Line-of-Sight conditions at 1.3 GHz. The measured radio channels were processed by the high-resolution parametric estimator RiMAX to estimate both the polarimetric specular multipath components (SMC) and dense multipath components (DMC). The model of the full-polarimetric distance-dependent PDP was derived from which the depolarization mechanisms are presented. In addition, it is demonstrated that the room electromagnetics theory applies to our scenario across all polarization links. The validity of the proposed model is provided by the good agreement between the polarimetric data and models. The results of this contribution highlight the fact that a complete polarimetric description of all propagation mechanisms is desired in polarimetric radio channel models.
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