Detecting and Analysis of Polar Orbiting Satellite Signal Using Low Cost Hardware Configuration With Software Defined Radio.

Abstract

This project-based research focuses on detecting and analyzing signals from polar-orbiting weather satellites using software-defined radio (SDR) technology. Polar-orbiting weather satellites, such as transmit weather-related data via VHF radio frequencies ( 137 MHz) as they traverse north-to-south or south-to-north orbits. These signals can be captured using an SDR receiver, a circular polarized antenna, and a computer system to process the received signal. The captured signals are processed with software to record the incoming data. Thats why it called Software Defined Radio. This recorded audio is then decoded using another software based on which types of data captured and later producing satellite weather images. These images provide valuable insights into cloud cover, temperature distribution, and other meteorological phenomena, offering significant potential for further research in weather analysis, climate monitoring, and environmental studies. This project also analize two types of circular polarized antenna. The two different setup on antenna system can show which is better for this particular geo-location. This project-based research demonstrates how affordable, accessible tools can be employed to decode real-time satellite data into actionable imagery. The approach also highlights the feasibility of independent satellite signal research, contributing to educational and scientific endeavors. The findings and methodologies outlined in this project-based research pave the way for broader applications in atmospheric science, disaster management, and sustainable development.