P-115 Signal Recorder and Data Analysis Program

My FFT Program is now more or less functionally complete. I am very happy with the way it has progressed. I can now display and navigate through a long signal, and then run Fast Fourier Transform analysis on that signal. I can then produce a graph of the Real and Imaginary Components of the signal, and create a Spectral Power Graph, as well as calculate the funamental frequency.

In addition to this, I have implemented a Hanning window for the FFT function, which can help reduce noise and improve signal recovery, and I have created a spectrogram, or a “waterfall display”. This is actually the same type of thing used on board US submarines to detect contacts.

This is a sine wave. I generated this in code, and I am using it to test the algorithms with “known” data.

This is a sine wave with a hanning window transform applied. Note that is begins at zero, and the slowly increases in amplitude. It would slowly  drop in amplitude until it reaches zero on the other side of graph too, but in FFT only the first half of the data is useful, the second half is simply a mirror of the first half, and can be discarded.

This is the real and imaginary output of the FFT function when the sine wave is used as an input. The sine wave in this case is 160Hz.

This is the power spectral graph of the sine wave. The first is showing a strong spike around 160Hz, which is correct, and the second is showing a strong spike around 120 Hz, which is the frequency of the waveform used to generate that graph.

Finally, these are some screenshots of my waterfall display. The strong white line across the screen is the sine wave showing up as a clear pattern against the background.

Obviously, dealing with real signals with produce a lot more noise, and this is what I intend to test next. Is it possible to detect a predictable pattern in a radio signal using this program? How strong does a signal need to be before these graphs and visualisations are capable of picking it up?
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