Your First Flowgraph

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Beginner Tutorials

Introducing GNU Radio

  1. What is GNU Radio?
  2. Installing GNU Radio
  3. Your First Flowgraph

Flowgraph Fundamentals

  1. Python Variables in GRC
  2. Variables in Flowgraphs
  3. Runtime Updating Variables
  4. Signal Data Types
  5. Converting Data Types
  6. Packing Bits
  7. Streams and Vectors
  8. Hier Blocks and Parameters

Creating and Modifying Python Blocks

  1. Creating Your First Block
  2. Python Block With Vectors
  3. Python Block Message Passing
  4. Python Block Tags

DSP Blocks

  1. Low Pass Filter Example
  2. Designing Filter Taps
  3. Sample Rate Change

This tutorial describes how to create and run your first flowgraph in GNU Radio.

This guide assumes GNU Radio is installed. The GNU Radio installation structures are here: Installing GNU Radio. The next tutorial, Python Variables in GRC, describes how Python data types are used in GNU Radio Companion (GRC).

Starting GNU Radio Companion[edit]

The GNU Radio Companion (GRC) is a visual editor for creating and running flowgraphs. GRC uses .grc files which are then translated into Python .py flowgraphs.

Open a terminal by pressing CTRL + ALT + T or by right-clicking on the desktop and selecting Open in Terminal:

OpenTerminal.png

Type in the terminal:

$ gnuradio-companion &

The GRC window opens:

NewGRCFlowgraph.png


Double click the Options block and name the flowgraph by editing the Id and Title:

NameYourFlowgraph.png

The Id is the filename of the Python flowgraph. Name it sineWaveFlowgraph.py. The Title is a description of the flowgraph. Click OK to save the changes.

Click File : Save to save the GRC Flowgraph.

GRCClickSave.png

Enter sineWaveGRC.grc as the name for the .grc file to distinguish it from the .py flowgraph.

EnterGRCName.png

The GRC file is named and saved.

Adding Blocks[edit]

Blocks are added to create the first flowgraph. GNU Radio comes with a library of signal processing blocks. The blocks can be browsed using the arrows on the right. Blocks may also be searched for using CTRL + F or by selecting the magnifying glass (highlighted in red):

SearchBlockLibrary.png

Search for the Signal Source block and then drag and drop it into the GRC workspace:

SearchSignalSourceBlock.png

Now search for Throttle, QT GUI Frequency Sink and QT GUI Time Sink. Drag and drop each of the blocks into the workspace. The flowgraph should like the following:

UnconnectedFlowgraph.png

The Signal Source block will create a complex sinusoid, QT GUI Frequency Sink will display the magnitude of the frequency spectrum and QT GUI Time Sink will display the time domain. The Throttle block is used for flow control in the absence of radio hardware.

The blocks need to be connected. First click the output of Signal Source (highlighted in red) and then click the input to the Throttle (highlighted in orange).

MakeFirstConnection.png

The Signal Source block text changed from red to black. The red text means a block still has an input or output that needs to be connected before the flowgraph can be run. Connect the throttle output to the frequency sink and time sink:

ConnectedFlowgraph.png

Running The Flowgraph[edit]

Press the Play button (highlighted in red) to run the flowgraph:

RunFlowgraphButton.png

A new window displays the signal in the time domain and frequency domain:

FrequencySinkTimeSink.png

Success! The flowgraph is running.

Open the file browser. There are two files. The first file is sineWaveGRC.grc, containing the information for the display of the flowgraph in GRC. The second file is sineWaveFlowgraph.py, containing the actual Python flowgraph code.

GRCandPy.png

Continue onto the next tutorial, Python Variables in GRC, which describes how Python data types are used in GRC.