Predicting total tropospheric attenuation on monthly basis


This contribution presents a comprehensive methodology for the global prediction of monthly total tropospheric attenuation statistics. This goal is achieved by combining the outputs of physically-based mostly models for the estimation of the attenuation induced by each relevant atmospheric constituent (gases, clouds and rain). To evaluate the model's accuracy, worst month total attenuation statistics are 1st derived from the monthly attenuation predictions, and tests are performed against the measurements included in the worldwide DBSG3 database of International Telecommunication Union-Radiocommunication Sector. Results show a good prediction accuracy, that corroborates the employment of the proposed physical model to assist engineers in planning future high-frequency satellite communication systems on the basis of the worst month concept.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :A Machine Learning Approach for Tracking and Predicting Student Performance in Degree Programs - 2018ABSTRACT:Accurately predicting students' future performance based on their ongoing academic records is crucial
PROJECT TITLE : Predicting Social Emotions from ReadersÕ Perspective - 2017 ABSTRACT: Thanks to the speedy development of Net, massive numbers of documents assigned by readers’ emotions have been generated
PROJECT TITLE : Predicting Persuasive Message for Changing StudentÕs Attitude using Data Mining - 2017 ABSTRACT: This paper aims to predict the factors and build prediction models for the persuasive message changing
PROJECT TITLE : Low-Power ECG-Based Processor for Predicting Ventricular Arrhythmia - 2016 ABSTRACT: This paper presents the look of a absolutely integrated electrocardiogram (ECG) signal processor (ESP) for the prediction
PROJECT TITLE :Predicting Cross-Core Performance Interference on Multicore Processors with Regression AnalysisABSTRACT:Despite their widespread adoption in cloud computing, multicore processors are heavily underneath-utilized

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry