Design of Autonomous CollaborativeArchitecturefor Radar Networks in Complex Battlefield Environments

As aerospace threats continue to evolve toward diversification, intelligentization, and systematization at an accelerating pace, the limitations of traditional radar networks in heterogeneous semantic interoperability, dynamic environment adaptation, and extreme-condition survivability have become increasingly prominent. To address these challenges, this paper proposes an autonomous collaborative architecture for radar networks in complex battlefield environments, based on a four-layer progressive framework of Elastic Connectivity, Unified Semantics, Decision-making and Control, and Service Provision. By integrating elastic networking, dynamic ontology modeling, and hierarchical decision-making and control, the architecture establishes a closed-loop operational mechanism of Connectivity, Understanding, Decision-making, and Service, systematically resolves the core bottlenecks of heterogeneous interoperability, insufficient generalization in dynamic scenarios, and structural vulnerability under intense countermeasures, and drives radar networks toward a paradigm shift from discrete nodes to collective intelligence. This work provides a technical path that balances theoretical innovation with engineering feasibility for the construction of a new-generation intelligent, resilient, and service-oriented aerospace early warning system.