# Submissions for: Satellite Collision Avoidance |#| Submission | Links | |-|-|-------------------------------------------| |1|[Automated Satellite Collision Avoidance with Distance-Based Maneuvers](https://github.com/Deepak7781/Satellite-Collision-Avoidance-225/)
This project implements a MATLAB-based solution for satellite collision avoidance in Low Earth Orbit, identifying conjunctions and executing distance-based along-track maneuvers to increase separation from space debris.

**Authors:** Deepak S
**Affiliation:** Madras Institute of Technology
**Submission Date:** 2026-02-06|
[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/Deepak7781/Satellite-Collision-Avoidance-225/)
[![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=Deepak7781/Satellite-Collision-Avoidance-225)



[![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)| |2|[Orbital State Estimation and Collision Risk with Gaussian Sum Filter](https://github.com/JoeWels123/Satellite-Collision-Analysis-using-Gaussian-Mixture-Filters)
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.

**Authors:** Joseph Wells
**Affiliation:** University College London
**Submission Date:** 2025-09-19|
[![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)
[![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)



[![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)|