Astra Shield - Advanced Satellite Tracking And Risk Analysis

• Author(s):

  Dr.P.Thangavel | Niveditha A | Adithyan Sabu | Mohammed Nisar | Nirmal Kumar

• Keywords:

  QIndustrial Automation, Lightweight AI, Predictive Analytics, Human-Machine Interface, ISO-AI Lite, SpaceCraft,

• Abstract:

  The Rapid Increase In Satellite Launches And Orbital Debris Has Raised Critical Challenges In Ensuring Collision-free Operations And Efficient Launch Scheduling. ISO-AI Lite Is A Lightweight, Explainable Artificial Intelligence Pipeline Designed To Assist In Launch-window Validation, Conjunction Risk Assessment, And Minimal Avoidance Manoeuvre Planning. The System Takes Two-Line Element (TLE) Data Of A Satellite And A Potential Conjunction Object As Input, Propagates Their Orbits Using The SGP4 Model, And Estimates The Probability Of Collision (PoC) Through Both Analytical And Monte Carlo Methods. It Integrates A Simple Weather Constraint Checker To Validate Launch Feasibility Based On Basic Environmental Parameters. When A High-risk Conjunction Is Detected, The Model Suggests An Optimal, Low-cost Avoidance Manoeuvre, Preferably In The Along-track Direction, Ensuring Both Safety And Fuel Efficiency. Additionally, The Framework Includes An Optional Single-sensor Re-observation Module That Refines Orbital Uncertainty Through A Kalman-based Update Before Executing The Manoeuvre. The Overall Objective Of ISO-AI Lite Is To Demonstrate A Compact, Interpretable, And Cost-effective Decision-support Tool For Mission Operators And Students, Enabling Improved Situational Awareness, Risk Mitigation,

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Other Details

• Paper id:

  IJSARTV12I3104797

• Published in:

  Volume: 12 Issue: 3 March 2026

• Publication Date:

  2026-03-28

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