Avancee-1 Mission and SaDoD Method: LiDAR-based stimulated atomic disintegration of space debris (SaDoD) using Optical Neural Networks

TL;DR

This paper introduces the Avancee-1 Mission and SaDoD method, utilizing LiDAR and Optical Neural Networks to detect and disintegrate space debris in orbit, considering environmental factors like atomic oxygen erosion and solar activity.

Contribution

It presents a novel LiDAR-based debris removal technique using Optical Neural Networks and details how environmental conditions influence debris disintegration effectiveness.

Findings

Orbital debris disintegrates more at low altitudes and high temperatures.

GEO satellites with ONN algorithms improve debris detection accuracy.

Disintegration likelihood increases with higher solar activity.

Abstract

The surface degradation of satellites in Low Earth Orbit (LEO) is affected by Atomic Oxygen (AO) and varies depending on the spacecraft orbital parameters. Atomic oxygen initiates several chemical and physical reactions with materials and produces erosion and self-disintegration of the debris at high energy. This paper discusses Avancee-1 Mission, LiDAR-based space debris removal using Optical Neural Networks (ONN) to optimize debris detection and mission accuracy. The SaDoD Method is a Stimulated Atomic Disintegration of Orbital Debris, which in this case has been achieved using LiDAR technology and Optical Neural Networks. We propose Optical Neural Network algorithms with a high ability of image detection and classification. The results show that orbital debris has a higher chance of disintegration when the laser beam is coming from Geostationary Orbit (GEO) satellites and in the presence of high solar activities. This paper proposes a LiDAR-based space debris removal method depending on the variation of atomic oxygen erosion with orbital parameters and solar energy levels. The results obtained show that orbital debris undergoes the most intense degradation at low altitudes and higher temperatures. The satellites in GEO use Optical Neural Network algorithms for object detection before sending the laser beams to achieve self-disintegration. The SaDoD Method can be implemented with other techniques, but especially for the Avancee-1 Mission, the SaDoD was implemented with LiDAR technologies and Optical Neural Network algorithms.