Martin Johansson’s research while affiliated with GRÄNGES SWEDEN AB and other places

Backscattering by objects is a relevant phenomenon in millimeter-wave (mm-wave) propagation. Accordingly, computationally efficient models characterizing this process are now available in the literature. However, these models are restricted to single-surface contributions. In this article, we propose a multiple-scattering model for calculating backscattered fields due to consecutive interactions with several smooth electrically-large rectangular surfaces. The model is fundamentally based on the cascading of single-scattering events. In addition, the model is later extended to capture single-scattering blockage between backscattering events. The model is implemented using a Fresnel-integral-based method and validated by means of electromagnetic (EM) simulations and measurements. Furthermore, insight on the effects of the model parameters—number of surfaces, frequency, surface size, surface height-to-width ratio, surface displacement, and antenna-to-surface and surface-to-surface distances—is provided. Due to its computational efficiency, the proposed model can be suitable for system- and link-level simulations of wireless systems, particularly when Monte Carlo simulations are applied.

Blockage and backscattering by objects are relevant phenomena in millimeter-wave propagation. Conventionally, these phenomena are treated by means of separate models and, in turn, included in the total channel response. In this letter, we propose a combined model for calculating both blocked and backscattered fields from planar smooth electrically-large rectangular surfaces. The contributions of this letter are twofold: first, a single formulation for calculating both blocked and backscattered fields; and second, backscattering models are proposed for calculating blockage as well. Furthermore, the proposed model can be implemented using several models and, finally, is validated with electromagnetic simulations and measurements. Due to its computational efficiency, the model can be suitable for system- and link-level simulations of wireless systems, particularly when Monte Carlo simulations are applied.