diff --git a/Version 1 (mTAC-LoRa)/README.md b/Version 1 (mTAC-LoRa)/README.md index 264a037..8e75d44 100644 --- a/Version 1 (mTAC-LoRa)/README.md +++ b/Version 1 (mTAC-LoRa)/README.md @@ -15,14 +15,17 @@ This version setup uses the following hardware: *The Raspberry Pi has been configured to initiate the 'Packet logger software' upon powering on and obtaining the correct time via the Internet (A delay of 5 minutes has been placed).* ## Instructions -1) Download the Raspberry Pi (RPi) image from https://drive.google.com/file/d/1OAoVtyabDzkLRxGgQARBqh3THc2MbKr8/view?usp=sharing +1) Download the Raspberry Pi (RPi) image according to the frequency bandplan of interest, from https://drive.google.com/file/d/1OAoVtyabDzkLRxGgQARBqh3THc2MbKr8/view?usp=sharing 2) Flash the image onto an SD card, using _balenaEtcher_ (https://www.balena.io/etcher/) -3) Insert the SD card into the RPi and power it on -4) In Rpi, open a console and run the following codes -`code goes here` -5) Reboot the RPi, and the data collection should commence in 5 minutes (It is recommended that you connect the RPi to a wired or wireless network so that the correct time can be obtained) +3) Insert the SD card into the RPi and power it on, and the data collection should commence in 5 minutes (It is recommended that you connect the RPi to a wired or wireless network so that the correct time can be obtained) ## Information extraction To extract the information, follow the steps below: -1) Download the _LoRadar data extraction.py_ python script from above -2) +1) Download the _Ver1\_LoRadar\_Extractor.py_ python script from above and place it in the _Downloads_ folder of the Raspberry Pi +2) Open a terminal and enter run the following commands to install the required libraries: +`sudo apt-get install python3-matplotlib --assume-yes` +`sudo apt-get install python3-pandas --assume-yes` +3) Open the python script with _Python 3 (IDLE)_ +4) Run the module +5) Upon successful extraction, a csv file will be created in the same directory as the _Ver1\_LoRadar\_Extractor.py_ python script +