Welcome to gps-helper’s documentation!

gps_helper

Tools and examples for GPS

Documentation

Documentation is hosted on readthedocs. Interactive Jupyter notebooks are viewable and also included this repository.

Installation

This package is available for download through pypi.

$ pip install gps-helper

To use the plotting functionality, there are extra requirements.

$ pip install gps-helper[plotting]

For matplotlib and mayavi, you will need to have backends installed to view the figures.

• Jupyter Notebook Examples
  • Signal Filtering
  • Measurement Filtering
  • Kalman Filtering Background
  • Basic Examples from Kim
  • Nonlinear Kalman Filter
  • Kalman Filter Variables
  • General Extended Kalman Filter (EKF) Block Diagram
  • Application to GPS using Simulated User and Satellite Trajectories

Modules:

• gps_helper
• smoothing

Indices and tables

• Index
• Module Index
• Search Page