qspectrumanalyzer/README.rst

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QSpectrumAnalyzer
=================
Spectrum analyzer for RTL-SDR (GUI for rtl_power based on PyQtGraph)
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Screenshot
----------
.. image:: https://xmikos.github.io/qspectrumanalyzer/qspectrumanalyzer_screenshot.png
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Requirements
------------
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- Python >= 3.3
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- PyQt >= 4.5
- PyQtGraph (http://www.pyqtgraph.org)
- rtl-sdr (https://github.com/keenerd/rtl-sdr)
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- Optional: rtl_power_fftw (https://github.com/AD-Vega/rtl-power-fftw)
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You should use `Keenerds fork of rtl-sdr <https://github.com/keenerd/rtl-sdr>`_
(latest Git revision), because ``rtl_power`` in original rtl-sdr (from osmocom.org)
is broken (especially when used with cropping).
Another alternative is
`rtl_power_fftw <https://github.com/AD-Vega/rtl-power-fftw>`_ which has various
benefits over ``rtl_power``. E.g. better FFT performance (thanks to
use of ``fftw`` library) and possibility to use much shorter acquisition time
for more real-time continuous measurement (minimum interval in original
``rtl_power`` is 1 second, but in ``rtl_power_fftw`` you are only limited
by number of frequency hops).
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Usage
-----
Start QSpectrumAnalyzer by running ``qspectrumanalyzer``.
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You can choose if you want to use ``rtl_power`` or ``rtl_power_fftw`` backend in
*File* -> *Settings* (default is ``rtl_power``). Path to ``rtl_power``
(or ``rtl_power_fftw``) executable can be also manually specified there. You can also
set waterfall plot history size in there. Default is 100 lines, be aware that
really large sweeps (with a lot of bins) would require a lot of system memory, so
don't make this number too big.
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Controls should be intuitive, but if you want consistent results, you should
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turn off automatic gain control (set it to some fixed number) and also set
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crop to 20% or more. For finding out ppm correction factor for your rtl-sdr
stick, use `kalibrate-rtl <https://github.com/steve-m/kalibrate-rtl>`_.
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You can move and zoom plot with mouse, change plot settings or export plots
from right-click menu. Waterfall plot black/white levels and color lookup
table can be changed in mini-histogram widget.