Space situational awareness systems: Bridging traditional methods and artificial intelligence

Abstract

With the rapid increase of space activities and the accumulation of space debris, the existing space situational awareness systems (SSAS) is facing increasingly severe challenges. This paper analyzes traditional approaches and describes their limitations in dealing with complex space environments. To address these challenges, we explore the application of artificial intelligence (AI) technology in SSAS and its future development scenarios. This paper gives a detailed overview of the basic principles and applications of traditional SSAS, and highlights its limitations. We focus on the application of AI to orbit determination and orbit prediction, highlighting its potential to enhance system flexibility and adaptability. In addition, we present possible directions for the future development of AI technology in SSAS. By combining traditional methods with AI technologies, we can expect more efficient and intelligent systems that are able to adapt to complex space environments. Through this comprehensive perspective, this paper aims to provide an in-depth understanding of SSAS and provide a valuable reference for future technological innovations and system upgrades.