Teaching Resources: Radio Astronomy Fundamentals I (Single Dish)

Fourier Transformations

A Fourier transform breaks down complex signals into their individual frequency components, making it a vital tool in signal processing for analyzing signals in the frequency domain. In this GNU Radio flowgraph, many signal sources and a noise source are combined, sampled using a throttle block, and sent into time and frequency sinks. The frequency sink computes the Fast Fourier Transform (FFT), displaying the original frequencies that make up the signal. This demonstration allows students to see how the FFT helps identify and separate individual frequencies, providing a clear understanding of how Fourier transforms are used in signal analysis.

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Frequency Modulation and Demodulation

In this GNU Radio flowgraph, students create an FM receiver that captures and demodulates frequency-modulated (FM) signals using an RTL-SDR. FM works by varying the frequency of the carrier signal in proportion to the audio information being transmitted, offering clear sound quality and resistance to interference. In the flowgraph, an RTL-SDR receives the FM signal, which is then passed through a series of blocks that demodulate it, converting the frequency changes back into the original audio signal. This demonstration helps students understand how FM radio works, from signal reception to audio reproduction, offering practical experience with real-world radio signals.

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