Modeling Short-Term Effects of Rain on Satellite Link using Machine Learning

• DOI: 10.36227/techrxiv.20943529
• Publication Date: 2022-09-07T20:20:31Z
• Authors: Rajnish Kumar
• Keywords: SIGNAL (programming language); Radio signal; Communications satellite

<p>The received signal at the ground station for a satellite link is affected by stochastic nature of atmospheric channel. Adverse weather events such as rain not only attenuates but also increases noise, scintillation fading and multipath effects that cause rapid variations in station. In order to analyze phenomenon on performance short-term basis, both slowly changing attenuation caused channel receiver has be studied. this work, we first statistical spectral properties fast varying component affecting performance. Following this, model parameters using several features extracted from with support vector machine (SVM). We show an interesting result under rainy conditions can predicted very high accuracy SVM. The prediction will lead design adaptive dynamics conditions.</p>