人工智能驱动下弹载探测技术的变革与挑战OA

This paper focuses on the intelligent combat requirements in complex electromagnetic environments,and systematically explores the transformations and challenges of missile detection technology driven by artificial intelligence(AI).First,the'hyper-saturated'state of modern battlefield electromagnetic environments is analyzed,and the multi-dimensional threats posed by'electromagnetic fog'constructed by intelligent jamming equipment to missile detection systems are elucidated.Second,typical application cases of countries such as the U.S.and Russia in the field of missile intelligent detection are summarized,revealing the tactical advantages achieved through target recognition and autonomous decision-making algorithms.Third,the application challenges of AI technology in missile detection are analyzed,and four targeted breakthrough directions are proposed,i.e.,generative sample intelligent enhancement technology,edge missile-borne intelligent computing power enhancement technology,multi-mode and multi-missile cross-domain collaborative detection technology,and human-machine fusion bidirectional enhancement technology.Finally,development suggestions are presented from the aspects of multi-modal model ecosystem construction and algorithm evaluation framework,emphasizing the need to establish causal inference perception framework,lightweight model technology,and dynamic adversarial testing environment.The research demonstrates that the deep integration of AI and missile detection will significantly enhance situational awareness,anti-jamming capabilities,and collaborative combat capabilities of missiles in complex electromagnetic environments,providing key technical support for future intelligent warfare.