Communication Satellite Link Budget Optimization Using a New Hybrid PSOGSA Algorithm

Authors

  • Miss.Sneha Patil Shivaji University, Kolhapur.(Maharashtra)
  • Miss.Linata Pethkar Shivaji University, Kolhapur.(Maharashtra)
  • Miss. Ankita Yadav Shivaji University, Kolhapur.(Maharashtra)
  • Prof.Mahesh Patil Shivaji University, Kolhapur.(Maharashtra)

Keywords:

Gravitational Search Algorithm (GSA); Particle Swarm Optimization (PSO); Communication Satellite; Function optimization; link budget; Earth station

Abstract

The paper presents the various component parts necessary for designing satellite link. The key issue in the design of
communication satellite is the link budget optimization such as (C/N) for uplink and downlink. The communication link between
a satellite and the Earth Station (ES) is consists of noise, rain, atmospheric attenuations, antenna misalignment and polarization.
This paper presents the fundamentals of a satellite link budget of generic communication satellite. In this paper a Gravitational
Search Algorithm based on the law of gravity and masses. Also in this paper PSOGSA algorithm is proposed which is
combination of PSO (particle swarm optimization) and GSA (Gravitational Search algorithm) algorithms in evolving the best
solution. From this algorithm shows that better capability to escapes is prevent in hybrid algorithm than that of standard PSO &
GSA.

Published

2018-04-25

How to Cite

Miss.Sneha Patil, Miss.Linata Pethkar, Miss. Ankita Yadav, & Prof.Mahesh Patil. (2018). Communication Satellite Link Budget Optimization Using a New Hybrid PSOGSA Algorithm. International Journal of Advance Research in Engineering, Science & Technology, 5(4), 294–298. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1466