DebriSense: Terahertz-based Integrated Sensing and Communications (ISAC) for Debris Detection and Classification in the Internet of Space (IoS)
Haofan Dong, Ozgur B. Akan

TL;DR
DebriSense-THz is a novel Terahertz-based integrated sensing and communications system for LEO satellites that significantly improves space debris detection and classification accuracy using machine learning and advanced channel modeling.
Contribution
Introduces a comprehensive THz channel model and a machine learning-based debris detection system for LEO satellites, advancing space situational awareness capabilities.
Findings
Achieves 95-99% debris classification accuracy at 5 THz
Demonstrates robustness across debris densities and MIMO configurations
Shows improved detection performance at higher frequencies and SNR levels
Abstract
The proliferation of Low Earth Orbit (LEO) satellite constellations has intensified the challenge of space debris management. This paper introduces DebriSense-THz, a novel Terahertz-Enabled Debris Sensing system for LEO satellites that leverages Integrated Sensing and Communications (ISAC) technology. We present a comprehensive THz channel model for LEO environments, incorporating debris interactions such as reflection, scattering, and diffraction. The DebriSense-THz architecture employs machine learning techniques for debris detection and classification using Channel State Information (CSI) features. Performance evaluation across different frequencies (30 GHz-5 THz), MIMO configurations, debris densities, and SNR levels demonstrates significant improvements in debris detection and classification accuracy (95-99% at 5 THz compared to 62-81% at 30 GHz). Higher SNR configurations enhance…
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Taxonomy
TopicsTerahertz technology and applications
