Application of raytracing technique for predicting average power distribution in indoor environment
In order to estimate the signal parameters for mobile systems, it is necessary to estimate a systempsilas propagation characteristics through a medium. Propagation analysis provides a good initial estimate of the signal characteristics. The ability to accurately predict radio-propagation behavior for wireless personal communication systems, such as cellular mobile radio, is becoming crucial to system design. Since site measurements are costly, propagation models have been developed as suitable, low-cost, and convenient alternative. The empirical and statistical techniques offer computational simplicity but low accuracy, while the deterministic techniques based on the numerical calculation of electromagnetic field (such as finite difference method, moment method, finite element method, etc.) provide high accuracy but very high computational intensity. The ray-tracing technique, which speeds up the computation while maintaining the reasonable accuracy, is an appropriate selection. In this paper, we develop a software program for predicting distribution of average power in indoor wireless communications based on ray-tracing technique. The efficiency of the proposed software program is shown in numerical results and is verified by measurement results.