Implementation of Kalman Filter with Python Language
Networking and Internet Architecture
2012-04-03 v1
Abstract
In this paper, we investigate the implementation of a Python code for a Kalman Filter using the Numpy package. A Kalman Filtering is carried out in two steps: Prediction and Update. Each step is investigated and coded as a function with matrix input and output. These different functions are explained and an example of a Kalman Filter application for the localization of mobile in wireless networks is given.
Cite
@article{arxiv.1204.0375,
title = {Implementation of Kalman Filter with Python Language},
author = {Mohamed Laaraiedh},
journal= {arXiv preprint arXiv:1204.0375},
year = {2012}
}
Comments
The Python Papers (2009)