AUTHORS: Roman Novak
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ABSTRACT: Method of images (MI) is one of the oldest methods for radio wave propagation prediction based on the ray-tracing principle. Although the MI was originally restricted to the radio environments with prevailing reflection phenomena, it is also used in indoor scenarios in which through-wall transmission make a significant contribution to the received signal power. Exact handling of propagation paths, either in the form of polyhedra bounding regions or in the form of some other equivalent geometrical description, is usually complemented with the use of visibility trees to contain excessive growth of source images. However, strict visibility trees and double refractions on parallel planes involved in through-wall transmissions are not well-suited to each other. Here we study visibility inaccuracy, which is usually ignored. We propose a source image translation heuristic based on the wall depth, material and field of view. We show that the proposed double refraction modeling improves accuracy of strict visibility trees, which gives a better fit of predicted signal to the theoretically correct solution.
KEYWORDS: Ray tracing, Radio propagation prediction, Method of images, Double refraction
REFERENCES:
[1] M. Kimpe, H. Leib, O. Maquelin and T.H. Szymanski, Fast Computational Techniques for Indoor Radio Channel Estimation, Comput. Sci. Eng., Vol. 1, No. 1, 1999, pp. 31–41.
[2] Z. Yun and M. Iskander, Ray Tracing for Radio Propagation Modeling: Principles and Applications, IEEE Access, Vol. 3, 2015, pp. 1089–1100
[3] F. Ikegami, T. Takeuchi, and S. Yoshida, Theoretical Prediction of Mean Field Strength for Urban Mobile Radio, IEEE Trans. Antennas Propag., Vol. 39, No. 3, 1991, pp. 299–302.
[4] D.A. McNamara, C.W.I. Pistorius, and J.A.G. Malherbe, Introduction to the Uniform Geometrical Theory of Diffraction, Antennas and Propagation Library, Artech House, Norwood, MA. 1990.
[5] J. Stam, Diffraction Shaders, Proceedings of the 26th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), Los Angeles, CA, 1999, pp. 101–110.
[6] S. Fortune, A Beam-Tracing Algorithm for Prediction of Indoor Radio Propagation, Selected Papers from the Workshop on Applied Computational Geormetry, Towards Geometric Engineering, 1996, pp. 157–166.
[7] J. Maurer, O. Drumm, D. Didascalou and W. Wiesbeck, A Novel Approach in the Determination of Visible Surfaces in 3D Vector Geometries for Ray-Optical Wave Propagation Modelling, Proceedings of the 51st IEEE Vehicular Technology Conference (VTC 2000- Spring), Tokyo, Japan, Vol. 3, 2000, pp. 1651– 1655.
[8] F. Agelet, A. Formella, J. Hernando Rabanos, F. de Vicente and F. Fontan, Efficient RayTracing Acceleration Techniques for Radio Propagation Modeling, IEEE Trans. Veh. Technol., Vol. 49, No. 6, 2000, pp. 2089–2104.
[9] R. Novak, Discrete Method of Images for 3D Radio Propagation Modeling, 3D Research, Vol. 7, No. 3, 2016, pp. 26:1-26:12.
[10] T. Rautiainen, R. Hoppe and G. Wolfle, Measurement and 3D Ray Tracing Propagation Predictions of Channel Characteristics in Indoor Environments, IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Athens, Grece, 2007, pp. 1–5.
[11] M. Ashour, S. Micheal, A. Khaled, T. el Shabrawy and H. Hammad, A Preprocessing Dependent Image Theory Based Ray Tracing Algorithm for Indoor Coverage Solution, Proceedings of the Wireless Communications and Networking Conference (WCNC), Istanbul, Turkey, 2014, pp. 299–304.
[12] T.E. Athanaileas, G.E. Athanasiadou, G.V. Tsoulos and D.I. Kaklamani, Parallel Radio-Wave Propagation Modeling with Image-Based Ray Tracing Techniques, Parallel Comput., Vol. 36, No. 12, 2010, pp. 679–695.
[13] C. Rappaport, A Novel, Non-Iterative, Analytic Method to Find the Surface Refraction Point for Air-Coupled Ground Penetrating Radar, Proceedings of the 5th European Conference on Antennas and Propagation (EUCAP), Rome, Italy, 2011, pp. 1786–1789
