Systematic Formation Training Architecture and Collaborative Combat Technology: A Deep Dive

In modern information-driven warfare, a single combat unit is no longer sufficient to cope with complex battlefield environments. Formation training, as an advanced form of tactical-technical training, has the core objective of building highly coordinated combat clusters that fuse multiple independent physical nodes into a resilient operational system. This article examines formation training across several dimensions—technical architecture, collaborative mechanisms, real-world training scenarios, and system evolution—to uncover its underlying logic and engineering practice.

1. System Definition and Architecture of Formation Training

1.1 Core Definition and Design Goals

Formation training is not simply the concentration of forces; it is a small-scale rehearsal of an integrated combat system. At its essence, it uses information links to seamlessly connect dispersed sensors, command nodes, and firepower units into a closed-loop system that integrates perception, decision-making, and execution. The fundamental purpose is to break the “information silos” of single-service or single-platform operations, strengthen joint thinking and system-level awareness among commanders at all echelons, and achieve exponential gains in combat effectiveness under complex electromagnetic and high-intensity contested environments.

1.2 Modular Composition and Small-System Integration

Architecturally, modern formation training widely adopts a “modular composition” strategy. Analogous to service orchestration in microservices architectures, combat units with different functions—such as air defense and missile defense modules, anti-ship strike modules, and anti-submarine detection modules—are encapsulated as standardized tactical components.

Through a “small-system integration” mechanism, these modules can be dynamically plugged in or recombined based on mission requirements. For example, during escort missions, air defense and missile defense modules receive high priority; in sea-control operations, anti-ship strike and ship-air coordination modules become the core. This architecture gives formations strong adaptive capability, enabling rapid reconstruction of the command topology after combat losses or unexpected events.

2. Autonomous Collaboration and Intelligent Command-and-Control

2.1 Distributed Processing and Sharing of Battlefield Data

The strength of a formation’s autonomous collaboration depends directly on battlefield data flow efficiency. In traditional star-shaped command architectures, all data converges on the flagship, creating information overload and single points of failure. Modern formation training is evolving toward distributed mesh topologies where each node is both a consumer and a producer of information.

By building tactical data-link networks, nodes can share in real time the target tracks captured by their own sensors, electronic reconnaissance signatures, and tactical intentions. To ensure data consistency across heterogeneous platforms, unified data exchange standards and time-synchronization protocols are typically adopted, eliminating coordination deviations caused by spatio-temporal mismatches.

2.2 Autonomous Collaborative Decision-Making Model

Enhancing autonomous collaboration means that each combat unit can achieve tactical coordination based on local battlefield awareness even when the central command node is degraded or communications are disrupted. This relies on pre-configured rules of engagement (ROE) and heuristic decision algorithms.

The following pseudocode illustrates the autonomous task-assignment logic a formation uses when facing multi-direction saturation attacks:

def autonomous_target_assignment(threats, fleet_units):
    """
    Formation autonomous collaborative air-defense allocation model
    :param threats: list of incoming threats (with trajectory, type, threat level)
    :param fleet_units: list of available firepower units in the formation
    """
    assignment_results = []
    # 1. Situational fusion and threat ranking
    sorted_threats = sorted(threats, key=lambda x: x.threat_level, reverse=True)
    # 2. Firepower allocation based on weapon interception envelopes
    for threat in sorted_threats:
        best_interceptor = None
        min_response_time = float('inf')
        for unit in fleet_units:
            if unit.is_available and unit.can_intercept(threat):
                # Calculate interception response time and engagement range
                response_time = calculate_engagement_time(unit.position, threat.trajectory)
                if response_time < min_response_time:
                    min_response_time = response_time
                    best_interceptor = unit
        if best_interceptor:
            # Lock target and update firepower unit status
            best_interceptor.assign_target(threat)
            best_interceptor.is_available = False
            assignment_results.append((best_interceptor.id, threat.id))
    return assignment_results

This mechanism ensures that the formation can complete the “detect-to-destroy” OODA (Observe-Orient-Decide-Act) loop with millisecond-level response speed when confronting unexpected threats.

3. Realistic Training Scenarios and Capability Validation

In recent years, multiple services have continuously validated and iterated on these tactical architectures through high-intensity realistic formation training. Publicly available training records reveal a clear trajectory of formation training expanding toward deep-blue ocean operations and demonstrating significant capability growth.

3.1 Carrier Strike Group Deep-Ocean Systematic Exercises

As early as December 2023, a large carrier strike group conducted exercises near the strategically significant waters around Guam for the first time. This milestone not only marked a major expansion of operational reach but also validated the group’s ability to sustain far-sea combat operations beyond the first island chain. By May 2026, the same carrier strike group conducted routine training in the Western Pacific. At that point, the focus had shifted from basic navigation to full-spectrum integration of complex tasks—carrier-based aircraft launch and recovery, secondary gun anti-air fire, underway replenishment—with simulated anti-missile scenarios embedded throughout. As the “pathfinder” and “talent incubator” of the system, the carrier’s deep-ocean employment model had matured considerably.

3.2 Integration of New Surface Combatants into Formations

The process of new equipment reaching combat readiness is, in substance, the process of new nodes integrating into existing combat systems. In March 2026, two newly commissioned frigates of the Eastern Theater Command Navy formed a task group and conducted high-difficulty exercises including air defense and missile defense, anti-ship strikes, ship-air coordination, and anti-submarine warfare in relevant waters. Through high-frequency drills under realistic conditions, this approach rapidly validated new equipment effectiveness and new tactics, accelerating the smooth transition from single-ship to formation-level and then to joint-operations capability.

During the same period, multiple vessels of the Southern Theater Command Navy formed a task group for multi-subject realistic training. Under the direction of an assessment team, the ships were required to continuously maneuver between multiple task areas to complete full-spectrum evaluations. This combat-oriented training model tested not only individual ship and formation command and tactical employment but also honed the forces’ ability to execute diverse mission sets.

3.3 Cross-Domain and Multi-Service Formation Integration

System-level operations are not limited to a single service; they emphasize cross-domain collaboration. In January 2026, air force and navy units jointly organized formation flight and naval task-group exercises, validating cross-domain information exchange and firepower coordination between air and sea platforms under complex electromagnetic conditions. In March of the same year, an army aviation brigade adopted an innovative “dual-field, dual-route” training model for formation exercises, breaking the constraint of traditional single-airspace operations and greatly enhancing the brigade’s ability to conduct dense scheduling and penetration in complex terrain across multiple flight routes. Additionally, a naval unit conducted multiple rounds of round-the-clock flight training over consecutive days, focusing on simulated search-and-rescue and contingency handling, further closing capability gaps in non-war military operations.

4. Evolution Toward Joint Operations and Technology Outlook

As formation training deepens, tactical-level formation coordination is accelerating toward campaign-level joint operations systems. In this process, the underlying information infrastructure becomes critically important.

4.1 Cloud-Native and Microservices-Based Command Information Systems

To cope with dynamically changing battlefield situations, modern command information systems are moving away from large monolithic architectures toward microservices-based deployment on container platforms. Functional modules—such as intelligence fusion, situational display, and weapons guidance—are encapsulated as independent services that communicate asynchronously through message queues. This architecture enables lightweight deployment of command systems on edge-computing nodes across the battlefield; even if some nodes are destroyed, core services can be rapidly spun up on remaining nodes within the formation, ensuring the command chain remains unbroken.

4.2 Future Directions: Autonomous Collaboration and AI Empowerment

Future formation training will rely more heavily on artificial intelligence and big-data technologies. By applying machine learning to massive volumes of historical exercise data, systems can build high-fidelity battlefield situation-prediction models. During training or actual operations, intelligent decision-support systems can present commanders with multiple coordinated-action plans and automatically assess the expected attrition and success probability of each. This “human-machine hybrid” collaboration model will further compress decision cycles, taking formation autonomous capability to the next level.

Conclusion

Formation training is not only a refinement of tactical skills but also an elevation of operational thinking. From coastal defense to deep-ocean escort, from single-service assault to multi-service joint-system confrontation, formation training—through modular composition, distributed collaboration, and intelligent decision-making—is reshaping the rules of modern naval and air combat. Looking ahead, continued deepening of joint operations training built on network-centric information systems will be a solid foundation for safeguarding strategic interests and global peace.