# Submissions for: Satellite Collision Avoidance

|#| Submission | Links |
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|1|[Orbital State Estimation and Collision Risk with Gaussian Sum Filter](https://github.com/JoeWels123/Satellite-Collision-Analysis-using-Gaussian-Mixture-Filters)<br/> This MATLAB toolbox implements a Gaussian Sum Unscented Kalman Filter for orbital state estimation, benchmarked against Monte Carlo simulations, and applied to assess collision probability between space objects. <br><br> **Authors:** Joseph Wells <br/> **Affiliation:** University College London <br> **Submission Date:** 2025-09-19|<img width="400" height="0" style="display:block;line-height:0;border:none;" alt=""><br>[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/JoeWels123/Satellite-Collision-Analysis-using-Gaussian-Mixture-Filters) <br> [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=JoeWels123/Satellite-Collision-Analysis-using-Gaussian-Mixture-Filters) <br>  <br><br><br> [![Trend: Autonomous Vehicles](https://img.shields.io/badge/Trend-Autonomous%20Vehicles-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md)|