This repository contains the implementation of an algorithm to estimate the path loss exponent, transmitted power, and Gaussian noise variance in a wireless channel using drive test data.
The PathLossModelEstimator uses field measurements (received signal strength and geographical coordinates) to estimate key parameters of the wireless channel. The parameters estimated are:
- Transmitted Power (P0)
- Path Loss Exponent (beta)
- Gaussian Noise Variance
The estimation is based on a log-distance path loss model and a linear regression method.
To clone and run this application, you'll need Git and Python installed on your computer. From your command line:
# Clone this repository
$ git clone https://github.com/AliNazariii/path-loss-model-estimator
# Go into the repository
$ cd PathLossModelEstimator
# Install dependencies
$ pip install -r requirements.txt# Run the application
$ python main.pyPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.