The gr-lora project aims to provide a collection of GNURadio blocks for receiving LoRa modulated radio messages using Software Defined Radio (SDR). More information about LoRa itself can be found on the website of the LoRa Alliance.
Though the core functionality of LoRa is described in various patents and blog posts (for a good resource, see this RevSpace page), most of the details are missing. However, the following features are fully supported by gr-lora:
- Synchronizing to LoRa frames transmitted with a spreading factor of 7
- Deinterleaving
- Dewhitening
- Decoding + error correction of the LoRa PHDR length field
- Decoding + error correction of frame payloads with a coding rate of 4/8
Decoding of other coding rates and spreading factors is expected to be implemented in the near future. See the "Issues" page for more information.
The installation procedure is the same as for any GNURadio OOT module:
mkdir build
cd build
cmake ../ # Note to Arch Linux users: add "-DCMAKE_INSTALL_PREFIX=/usr"
make && sudo make install
The following dependencies are required:
- numpy
- scipy
- liquid-dsp (https://github.com/jgaeddert/liquid-dsp)
To test your installation, you can download one of the sample LoRa signals at https://github.com/rpp0/gr-lora-samples. Configure apps/lora_receive_file.py to use the sample and run the script. You should see the decoded sample data:
$ ./lora_receive_file.py
Bits per symbol: 7
Bins per symbol: 128
Header bins per symbol: 32
Samples per symbol: 1024
Using Volk machine: avx2_64_mmx_orc
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 b8 73 af 81 69 (0 errors)
88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 fd e5 af 81 69 (3 errors)
12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 a3 69 af 81 69 (0 errors)
...
Contributions to the project are very much appreciated! If you have an idea for improvement or noticed a bug, feel free to submit an issue. If you're up for the challenge and would like to introduce a feature yourself, we kindly invite you to submit a pull request.
See the LICENSE file for the license of this project. If you are working on a project that involves the usage of gr-lora, we would appreciate it if you can acknowledge gr-lora by linking to this page.
- Version 0.21: Fixed some issues reported by reletreby
- Version 0.2 : C++ realtime decoder, manual finetuning for correcting frequency offsets of the transmitter.
- Version 0.1 : Python prototype file based decoder, SF7, CR4/8