电磁频谱空间具身智能认知:概念、框架和关键技术OA

With the continuous expansion of electromagnetic space applications and increasing operational complexity,spectrum resources show growing dynamism,diverse signal structures,and complex environments-posing serious challenges to traditional spectrum sensing and management.This paper reviewed key limitations in current electromagnetic spectrum cognition,such as static deployment,isolated knowledge,and closed-loop cognition,which restrict adaptability,autonomous decision-making,and collaborative perception.To address these challenges,the embodied intelligent cognition for electromagnetic spectrum space was proposed.This framework integrates distributed mobile embodied agents with programmable RF front-ends to enable multimodal perception and structured understanding of complex environments.It incorporated large models and agent-based mechanisms for task-driven reasoning and decision-making,using federated and continual learning to build an evolving knowledge system,granting"electromagnetic muscle memory".Finally,coordination mechanisms and key technologies across three core modules were analyzed,emphasizing embodied intelligence's role in real-time perception,proactive regulation,and continuous optimization in complex spectrum spaces,providing theoretical foundations and engineering insights for intelligent cognition and spectrum management across multi-scenario,multi-task environments.