A support vector regression-based prediction model for offshore broadcasting signal propagation

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Abstract
Broadcasting plays an important role in offshore information transmission because of its stability and long-distance propagation characteristics. To improve propagation prediction in the offshore environment of the South China Sea, this study proposes a path loss prediction model based on Support Vector Regression and verifies the performance with measurement data. Compared with ITU-R P.1546, the proposed model achieves an improvement in prediction accuracy of up to 55.50%. The findings of this research can help to give a clearer understanding of the path loss characteristics of the Frequency Modulation broadcasting signal in the offshore environment, which provides a more reliable foundation for radio wave transmission in offshore environments.

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