DebriSense：用于空间物联网（IoS）中碎片检测与分类的基于太赫兹的通信感知一体化（ISAC）
DebriSense: Terahertz-based Integrated Sensing and Communications (ISAC) for Debris Detection and Classification in the Internet of Space (IoS)
AI总结：
本文提出DebriSense-THz系统，利用太赫兹通信感知一体化（ISAC）技术和机器学习进行LEO卫星空间碎片检测与分类，在5 THz下实现95-99%的准确率，显著提升了空间态势感知能力。
摘要：
低地球轨道（LEO）卫星星座的激增加剧了空间碎片管理的挑战。本文提出了DebriSense-THz，一种用于LEO卫星的新型太赫兹碎片感知系统，该系统利用通信感知一体化（ISAC）技术。我们提出了一个适用于LEO环境的综合THz信道模型，包含反射、散射和衍射等碎片相互作用。DebriSense-THz架构采用机器学习技术，利用信道状态信息（CSI）特征进行碎片检测与分类。在不同频率（30 GHz-5 THz）、MIMO配置、碎片密度和信噪比（SNR）水平下的性能评估表明，碎片检测与分类准确率有显著提高（在5 THz时为95-99%，而在30 GHz时为62-81%）。更高的SNR配置增强了感知性能，特别是在较高频率下。该系统在THz范围内的各种碎片密度和MIMO尺寸下表现出稳健的性能，并在较低频率下表现出通信可靠性与感知精度之间的权衡。DebriSense-THz代表了空间态势感知的重大进步，为在日益拥挤的LEO环境中制定更有效的碎片缓解策略铺平了道路。
英文摘要：
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 sensing performance, particularly at higher frequencies. The system shows robust performance across various debris densities and MIMO size in the THz range, with a noted trade-off between communication reliability and sensing accuracy at lower frequencies. DebriSense-THz represents a significant advance in space situational awareness, paving the way for more effective debris mitigation strategies in increasingly congested LEO environments.
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