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This package contains a collection of tools which implements different regression methods in order to localize and track an agent in an environment
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catkin_ws
deep-rf-regression @ e8096e9
esp32-thing-wifi-ble @ 8ae56db
ldpl-based-trilateration @ b4ca9a3
mfms-localization @ 90d1c72
rf-propagation-notes @ c5de01b
.gitignore
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README.md
_config.yml

README.md

rf-localization

This package contains a collection of tools which implements different regression methods in order to localize and track an agent in an environment. This is a generic read me file summarizes the whole code base. In order to obtain further information, please refer the individual readme files in the subfolders.

Maintainer: Murat Ambarkutuk

Computational Multi-physics Laboratory

Mechanical Engineering Department

Virginia Polytechnic Institute and State University

Build Status

WiFi Regression (Keras implementation)

This repository contains a Neural Network regressing on RSSI readings to localize an agent on an environment.

WiFi Regression (MATLAB implementation)

This package contains 3 different regression tools whose input is RSSI readings from various Access Points and corresponding locations.

catkin_ws

This folder contains a number of ROS packages for online signal collection for different radio modules.

esp32-thing-wifi-ble

This package contains the software needed to be run on ESP32 Thing, which is a development kit based on a SoC radio module (ESP32), for simultaneous WiFi and BLE connections.

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