ITU-R P.1546-3 PDF

ITU-R P. The method converges with the Okumura-Hata calculations under the conditions for which their ranges of applications overlap. The calculations are not described in full detail, because of their complexity and the worldwide availability of ITU-R Recommendations. The complete details of the calculations are available in [1].

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Scientific Research An Academic Publisher. Select the China site in Chinese or English for best site performance. Mixed land a sea paths not implemented. Updates 27 Aug 1.

Added a graphical interface type ITUP iut-r minor issues. Spyros Kyperountas Spyros Kyperountas view profile. Please help is appreciated. This an implementation of the ITU-R p. How the program works please? Based on your location, we recommend that ihu-r select: Artificial Neural NetworkPrediction of Propagation.

You are now following this Submission You will see updates in your activity feed You may receive emails, depending on your notification preferences. In order to calculate the propagation loss of electromagnetic waves produced by a transmitter, a variety of models based on empirical and deterministic formulas are used.

Walid Mohanna Walid Mohanna view profile. Meanwhile, the results show that an ANN model performs very well compared with theoretical and empiric propagation models with regard to prediction accuracy, complexity, and prediction time.

The good results obtained in the city area reveal that the artificial neural network is a very efficient method to compute models which integrate theoretical and experimental data. The corrections are always added into field strenght.

Other MathWorks country sites are not optimized for visits from your location. Read the ITU P. This was created from ITU p. How do I run? Learn About Live Editor. This implementation is finished open with ITUP to view gui interface. Tags Add Tags itu itur model propagation. Discover Live Editor Create scripts with code, output, and formatted text in a single executable document. Choose a web site to get translated content where available and see local events and offers.

Edgar Castillo Edgar Castillo view profile. In this paper, the propagation loss of FM radio station using artificial neural networks models is studied depending on the Levenberg-Marquardt algorithm.

Minor issues corrected -warm sea paths are now selected -step 15 implemented with environment set values instead of any R value -values are selected from a preloaded entry rather than the excel. Comments and Ratings 9. Select a Web Site Choose a web site to get translated content where available and see local events and offers.

Updated 27 Aug In this study, one of the artificial neural networks models, Levenberg-Marquardt algorithm, which is quite effective for predicting the propagation is used and the results obtained by this algorithm are compared with the simulation results based on ITU-R and Epstein-Peterson models. Related Articles


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