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Development of an Optimized Ray Tracing Path Loss Model in the Indoor Environment

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Abstract

The various multipath mechanisms such as multiple reflections, diffraction, and scattering strongly degrade the radio signals in the indoor propagation environment. Although the deterministic ray tracing technique is widely used for modeling multiple reflections, it does not effectively describe the contributions of diffuse scattering from the rough surfaces. In this paper, measurements are performed in an indoor corridor environment with glass partitions to analyze the losses of WLAN mobile radio signals at 2.4 GHz. The path loss is estimated using the ray tracing deterministic N ray model. To improve its accuracy, the N ray model is merged with wavelet analysis to minimize the error between the model estimated and measured path loss. Although the wavelet merged ray tracing model has a better performance, there is a large variance in the reconstructed output. To have a better accuracy, the N ray model is modified by including the losses due to diffraction and scattering effects. The modified ray tracing model has an RMSE of 0.0590 and percentage relative error of 0.2009. The modified model is further optimized by including the statistical analysis of Rayleigh rough surface scattering to derive modified Fresnel’s reflection coefficients. The optimized model has the least values of RMSE (0.0385), standard deviation of error (0.0347) and percentage relative error (0.1312). The path loss estimated from the optimized model has the best agreement with the measured data and the values of the error metrics suggest the efficiency of the proposed optimized model.

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Acknowledgements

The authors thank the Principal of Deccan College of Engineering And Technology, Dr M.A.Malik for permitting to conduct the experiment in the premises of the institution. The authors thank the students Shamshiya Tabassum and Zohair Mohammed for their assistance in collecting experimental data.

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Bhuvaneshwari, A., Hemalatha, R. & Satya Savithri, T. Development of an Optimized Ray Tracing Path Loss Model in the Indoor Environment. Wireless Pers Commun 96, 1039–1064 (2017). https://doi.org/10.1007/s11277-017-4220-5

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