Skip to content

An implementation for estimating the path loss exponent, transmitted power, and Gaussian noise variance in a wireless channel using drive test data.

Notifications You must be signed in to change notification settings

AliNazariii/path-loss-model-estimator

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

PathLossModelEstimator

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.

Description

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.

Installation

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

Usage

# Run the application
$ python main.py

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

About

An implementation for estimating the path loss exponent, transmitted power, and Gaussian noise variance in a wireless channel using drive test data.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages