Meet Inspiring Speakers and Experts at our 3000+ Global Conference Series Events with over 1000+ Conferences, 1000+ Symposiums
and 1000+ Workshops on Medical, Pharma, Engineering, Science, Technology and Business.

Explore and learn more about Conference Series : World's leading Event Organizer

Back

Dalia Nandi (Das)

Dalia Nandi (Das)

West Bengal University of Technology
India

Title: Development of channel model to predict rain attenuation time series useful for satellite communication link over the world

Biography

Biography: Dalia Nandi (Das)

Abstract

Due to the congestion at the lower frequency bands, the satellite communication systems are now operating at the higher frequency Ku or Ka bands (Ku or Ka). However in these bands, mainly above 10 GHz, rain events cause severe attenuation to the propagating signal along earth space communication link. If time series prediction of rain attenuation during rain events is possible, fade countermeasure techniques such as adaptive control of signal power, coding and data rate can be effectively implemented to mitigate this attenuation effect. In the present study, a channel model has been developed to predict time series of rain attenuation during rain event. This model is not only tested on long term basis but also event wise. The effectiveness of the methodology is tested for different locations in the globe. The yearly cumulative distributions of measured rain rate and attenuation data for tropical and temperate locations are compared. Separate model parameters are developed for tropical and temperate regions for better prediction of rain attenuation. Temperate model parameters obtained from a temperate location are successfully used for other temperate locations. Similarly tropical model parameters obtained from a tropical location are successfully used for other tropical locations. We are now trying to develop a global model which will be applicable to all over the world for time series prediction of rain attenuation during rain events.