Project Idea
Radio astronomy plays an important role in studying celestialobjects and understanding the universe through radio-frequency tronomy is the hydrogen line at 1420 MHz, which is widely usobservations. One of the most important frequencies in radio a sed to observe neutral hydrogen in the Milky Way galaxy. Before reaching ground-based radio telescopes, radio signals travel electromagnetic waves and introduce signal distortion, phase shthrough the ionosphere, a layer of Earth’s atmosphere containing free electrons and ionized particles. These particles affec tift, delay, and scintillation noise, reducing signal quality and observation accuracy. This project investigates the influence of ionospheric disturbances on radio signals using real observational data from the PNU Radio Telescope. MATLAB-based signal processing techniques, including RFI f itering and TEC-based ionospheric correction, were applied to analyze and improve the received signals.
01
The Beginning
The idea started from observing that radio signals used in Radio Astronomy are affected as they pass through the Ionosphere, reducing observation quality and accuracy. Real data from the PNU Radio Telescope was therefore used to study and mitigate these effects.
02
The Idea
The project provides a method for analyzing and improving radio signals using RFI Filtering and TEC-based Ionospheric Correction, aiming to reduce Ionospheric disturbances and improve SNR and observation quality.
03
The Experience
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