Spektrumanalysator-Software von Pavel Šorejs zur Verwendung mit einem RTL-SDR Stick
FM frequency band | 433 MHz antenna measurement |
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User interface with Tabs: | Area/Line option |
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Mouse wheel zoom from middle of graph: | Mouse wheel close to graph edges adjusts limits |
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The zoom area and measurements with cursors: | Zoomed in area |
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Drag graph with middle mouse button: | Area of interest centered |
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Reference save/display: | Averaging (video) |
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Min Max hold & Median: | VHF band scan with Max hold |
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Basic support for IF. | Average stored as a reference and shifted up. |
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RTL Power croping : OFF. | RTL Power croping : ON. |
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Quick Start
Grab the latest release for your OS and unpack it somewhere.
Connect and configure your rtl-sdr stick.
Windows
get Zadiag tool – https://zadig.akeo.ie/ and install WinUSB driver for your SDR dongle
Linux
Get libusb-1.0 from your distribution repository
To prevent loading wrong driver, create /etc/modprobe.d/rtl-sdr.conf
file with following content
blacklist dvb_usb_rtl28xxu
Create udev rule /etc/udev/rules.d/20.rtlsdr.rules
to access as non-root user:
SUBSYSTEM=="usb", ATTRS{idVendor}=="0bda", ATTRS{idProduct}=="2838", GROUP="adm", MODE="0666"
Launch the software.
Usage
Usage is fairly simple
- Tweak parameters like frequency range, scale, tuner gain or offset tuning to suit your needs.
- Base display is average for each point, turn „min/max“ to also see minimums and maximums for every displayed point.
Relative mode
Relative mode allows you to „zero“ the measurement and is useful for measurements with noise constant sources
You can find an example here http://www.rtl-sdr.com/rtl-sdr-tutorial-measuring-filter-characteristics-and-antenna-vswr-with-an-rtl-sdr-and-noise-source/
- Connect your noise source
- Set desired frequency range
- Click „Relative mode“
- Wait a couple of sweeps – it will do a running average of all collected data
- Click „Set relative“ to set the captured spectrum as reference. You should now see a fairly straight line around 0dB
- Connect antenna or filter and tweak gain so you see what is desired
Hallo,
schönes Programm, läuft unter Windows gut, wie bekommt man das unter Linux zum laufen?