FindLostPhone Project

Overview

This project aims to locate a lost phone using the data from three different stations. Each station provides distance information to the phone, but they are subjected to various types of noise.

Representation of the Task Problem

Methodology

We employ the Levenberg-Marquardt algorithm, a nonlinear local optimization technique, to accurately estimate the phone's position despite the noise in the data.

Visualization of Loss Function

The following images illustrate aspects of the loss function used in our optimization process:

3D Plot of Loss Function

Contour Plot of Loss Function

We have also implemented the weighted non linear least squares and obtained superior results.

Repository Contents

• MATLAB code implementing the Levenberg-Marquardt algorithm.
• FindLostPhone Methodology (PDF): A detailed document explaining the theoretical background and implementation details.