The navigation signals in your smartphone, the Wi-Fi at home, satellites orbiting overhead, naval vessels at sea, and aircraft in the sky—all operate within the same invisible domain: the electromagnetic spectrum. Whoever sees more clearly, computes faster, and tunes more precisely within this domain holds the key to the future information environment.
The electromagnetic spectrum has become a critical nexus spanning all domains, providing information support for multi-domain joint operations. As warfare rapidly evolves toward intelligentization, electromagnetic confrontation exhibits characteristics such as dense and highly dynamic signals, complex and intertwined situational awareness, and prominent system-level competition—making it imperative to strengthen electromagnetic-spectrum operational support systems.
Under the tide of intelligentization, electromagnetic-space competition has shifted from isolated equipment-level confrontation to systematic, virtual-physical integrated博弈. An article published by the PLA Daily titled “Digital Twin Battlefield: Reshaping the Paradigm of Electromagnetic-Spectrum Operational Support” (author: Li Xiuhe) clearly analyzes the architectural logic, application value, and implementation pathways of the digital twin battlefield, pinpointing the core pain points of current electromagnetic confrontation: traditional models suffer from lagging situational awareness, delayed decision-making, and coarse-grained resource allocation—rendering them ill-suited to today’s high-intensity, fast-paced electromagnetic environments.
01 Why Build a Digital Twin Battlefield? — Three Bottlenecks of Traditional Approaches
Consider three concrete scenarios first.
Bottleneck One: Lagging Situational Awareness
In modern electromagnetic environments, signal density is high, signal types are diverse, and signal transitions occur rapidly. The conventional “intercept–identify–locate–analyze” chain relies heavily on human involvement at each step. By the time analysis concludes, signal characteristics may have already changed—resulting in the dilemma of “unable to see, unable to distinguish, unable to keep up.”
Bottleneck Two: Delayed Decision-Making
The rhythm of electromagnetic-spectrum competition is often measured in seconds. The window between detecting an anomalous signal and formulating a response strategy grows increasingly narrow. Relying solely on experience and manual estimation makes it difficult to generate quantifiable, comparable, and rigorously defensible solutions within tight timeframes.
Bottleneck Three: Coarse-Grained Resource Allocation
Resources—including equipment, spectrum, and deployment sites—have long been planned manually. When the situation changes, plans quickly become outdated; utilization efficiency and collaborative effectiveness remain visibly capped.
These three bottlenecks collectively point to one conclusion: the electromagnetic spectrum demands a new support system capable of “seeing clearly, computing rapidly, and adjusting dynamically”—shifting from “experience-driven” to “data-driven” operations. This is precisely the logical genesis of the digital twin battlefield.
02 What Is a Digital Twin Battlefield? — A Digital Mirror Running in Parallel with Physical Space
Digital twins are not unfamiliar: industrial sectors have long used them to build “digital twins” for physical equipment. When this concept is introduced into the electromagnetic domain, it gives rise to the “digital twin battlefield”—a highly coupled, continuously evolving digital mirror of the real electromagnetic space.
A digital twin battlefield fundamentally leverages digital twin, big data, and artificial intelligence technologies to construct a digital mirror tightly synchronized with the real-world physical electromagnetic space. It achieves high-fidelity multi-domain fusion mapping, distributed parallel computing, and bidirectional virtual-physical closed-loop evolution—enabling “mirroring reality via the virtual, predicting reality via the virtual, controlling reality via the virtual, and iterating via real-world operations.”
Breaking this down, the four “via the virtual” components each serve distinct functions:
- Mirroring Reality via the Virtual: Fully replicating real-world electromagnetic signal characteristics, equipment status, and environmental conditions into the digital world—making the intangible electromagnetic spectrum visible and measurable;
- Predicting Reality via the Virtual: Pre-running multiple possible scenarios in the digital space to project situational evolution, proactively exposing risks and identifying opportunities;
- Controlling Reality via the Virtual: Deploying strategies and parameters validated through digital simulation directly onto physical equipment—using the “optimal solution” derived in the digital world to guide actions in the physical world;
- Iterating via Real-World Testing: Feeding real-world measurement data back into the digital model to progressively refine its accuracy.
This paradigm no longer focuses solely on enhancing individual equipment performance. Instead, it aims to reconstruct the entire electromagnetic mission support framework—bridging the gap between simulation-based analysis and real-world environments—and shifting electromagnetic confrontation from experience-driven to data-driven operations, and from post-action review to pre-action planning, in-action adjustment, and post-action iteration across the full operational cycle.
03 How Is This Concept Implemented? — Three Core Architectures, Built on a Domestic Technology Foundation
Implementing this concept requires an autonomous, controllable underlying software and hardware technology foundation. As a high-tech enterprise deeply engaged in Software-Defined Radio (SDR) and domestic electromagnetic simulation, Dayao Technology possesses firsthand engineering insights into the practical implementation of the digital twin battlefield. The three core architectures proposed in the article align closely with Dayao Technology’s “Tianwen–Tiangang–Tianyu” product system architecture.
High-Fidelity Multi-Domain Fusion Mapping: Making the Intangible Electromagnetic Spectrum “Visible”
A digital twin battlefield must fully replicate signal characteristics, equipment technical and tactical parameters, terrain and meteorological conditions, and typical frequency-use scenarios such as radar networking and communication transmission—transforming invisible, intangible electromagnetic signals into visualized situational displays to reveal systemic vulnerabilities and optimization opportunities.
The challenge of high-fidelity mapping lies in achieving both “likeness” and “completeness”: signals in the digital space must “look like” their physical counterparts—preserving modulation schemes, parameter details, and timing features—while also ensuring “scenario completeness,” covering everything from single equipment units to multi-system coordination, and from radio-wave propagation to terrain-meteorology coupling.
Dayao Technology’s Tianwen Electromagnetic Simulation Development System establishes three-tiered simulation and modeling capabilities—algorithms, equipment, and scenarios—and includes an internal library of over 700 proprietary RF waveform components. It enables high-fidelity modeling and replication of multi-dimensional electromagnetic signals, equipment models, and complex scenarios. From a single radar waveform, to an end-to-end networked detection process, to an entire complex electromagnetic environment, this three-tiered simulation provides depth—from discrete points to comprehensive coverage—in mapping fidelity.
The Tiangang Series Electromagnetic Signal Simulators leverage multi-unit networked orchestration capabilities to generate multi-dimensional complex electromagnetic environments across space, time, and frequency domains. They translate simulation models into physically receivable RF signals—realizing the mapping and reproduction of virtual scenarios into physical signals—and provide both software and hardware support for high-fidelity electromagnetic mirroring.
Distributed Parallel Computing: Enabling Large-Scale Simulation “to Run”
Large-scale scenario simulation, quantitative evaluation of multiple alternative solutions, and closed-loop strategy iteration place extremely high demands on computational power. Traditional single-CPU simulation architectures easily hit compute bottlenecks when handling large-scale system-level simulations.
The bottleneck is intuitive: a single system-level simulation often involves thousands of concurrent signal flows and hundreds of concurrently evaluated alternatives—serial computation simply cannot handle such throughput.
The intelligent solution is heterogeneous parallelism—where CPUs excel at logical scheduling (like “commanders”), FPGAs excel at real-time signal processing (like “shock troops”), and GPUs excel at large-scale parallel computation (like “massed formations”). Assigning specialized computational tasks to dedicated units naturally yields significant efficiency gains.
The Tianwen platform builds one of China’s few CPU/FPGA/GPU heterogeneous parallel simulation engines. It distributes complex simulation tasks across different computing units, dramatically improving computational efficiency for massive scenario simulations, quantitatively evaluating the effectiveness metrics of different strategies, comparing and selecting superior response options, and supporting rapid solution generation and closed-loop iteration—precisely matching the digital twin battlefield’s requirements for distributed parallel computing. Furthermore, the entire software suite natively supports domestic innovation ecosystems including Phytium, Kunpeng, Kylin, and UnionTech, ensuring autonomy, security, and controllability of the underlying environment—and delivering robust, long-term operational stability and continuous evolutionary capability.
Bidirectional Virtual-Physical Closed-Loop Evolution: Making Simulation “Come Alive”
The most critical component is bidirectional virtual-physical closed-loop evolution—establishing seamless linkages between virtual simulation and the real world. The essence of the digital twin battlefield lies not merely in simulation, but in enabling real-world environmental data to feed back and correct models, deploying simulation-derived strategies to physical equipment, and using real-world measurement results to further optimize the simulation system—achieving bidirectional iterative enhancement between virtual and physical realms.
This reflects Dayao Technology’s emphasis on integrated software-hardware design and closed-loop simulation-measurement methodology: simulation software performs scenario-based analysis and generates strategies; Tiangang hardware devices convert virtual waveforms into real RF signals; real-world signal data is collected and fed back into the simulation platform to continuously calibrate model parameters—forming a “simulation → output → collection → correction” closed loop. This enables bidirectional interaction between virtual simulation and the physical world, transforming simulation from theoretical paper exercises into a system that interfaces directly with real electromagnetic environments—the essential technical prerequisite for implementing the digital twin battlefield.
The value of this closed loop lies in “getting more accurate with every use”: each round of real-world data feedback serves as a calibration of the digital mirror; each calibration makes the next round of simulation more realistic. Thus, the digital twin battlefield is not a static model repository—but rather a continuously evolving “living system.”
04 Deeper Transformation—From Single Equipment to System-Level Integration, From Tools to Paradigms
The article further notes that the digital twin battlefield will drive deep-seated transformations in application logic: electromagnetic confrontation assessment shifts from post-action review to full-cycle evaluation; equipment employment evolves from experience-based operation to precision-adaptive utilization; and force coordination advances from fragmented allocation to全域 (all-domain) integrated coordination.
In engineering practice, these three transformations imply:
- Evaluation Shifted Forward: Simulation is conducted prior to execution—strategies are first “run” in the digital space to expose risks and weaknesses early and enable timely remediation;
- Precision Adaptation: Every strategy and parameter set undergoes quantitative evaluation—equipment usage shifts from “close enough” to “exactly right”;
- All-Domain Coordination: Multiple units and cross-domain forces are deployed and scheduled within a unified digital space—multi-equipment synergy delivers enhanced effectiveness.
This means simulation systems must go beyond single-equipment simulation to support system-level simulation involving multiple units and cross-domain forces. Through system-level simulation and analysis, force deployment, timing optimization, and task decomposition are achieved—enabling complementary multi-equipment effectiveness and unlocking the full potential of system-wide collaborative efficacy. Underpinning all this are unified data standards, secure data links, and the cultivation of multidisciplinary talent.
Dayao Technology’s product ecosystem—from simulation software and RF hardware devices to training platforms designed for teaching and research—aims precisely to establish a “trinity” of tools, platforms, and hands-on training. On one hand, it strengthens China’s domestic electromagnetic simulation technology foundation; on the other, it cultivates multidisciplinary talent in the electromagnetic domain—directly addressing the construction requirements outlined in the article. Notably, talent development goes beyond theoretical knowledge—it emphasizes practical proficiency: training platforms bring real equipment into classrooms, allowing learners and engineers to understand simulation, validate algorithms, and accumulate experience within authentic signal environments—this is the pivotal link closing the loop among “concept → technology → talent.”
05 Conclusion: Concepts Guide Direction; Technology Enables Implementation
Looking ahead, the digital twin battlefield for the electromagnetic spectrum is ascending from the tactical to the strategic level—driving intelligent, deep integration across electromagnetic, cyber, and space domains—and securing technological leadership. This novel paradigm places higher demands on China’s domestic electromagnetic simulation industry: we need not only advanced concepts but also an autonomous, controllable, integrated software-and-hardware domestic technology foundation to support them.
Concepts guide direction; technology enables implementation. Ultimately, innovative frontier concepts require domestically developed software and hardware products to realize them. Continuous breakthroughs in domestic technologies—including digital twins, heterogeneous parallel simulation, and Software-Defined Radio (SDR)—will provide solid industrial strength for building the digital twin battlefield, empowering us to seize initiative in technological development. For application scenarios such as low-altitude defense, wireless communications, and teaching/research, the industrial story of domestic electromagnetic simulation and SDR has only just begun its first chapter.
Source Citation
PLA Daily, “Digital Twin Battlefield: Reshaping the Paradigm of Electromagnetic-Spectrum Operational Support,” author: Li Xiuhe
Original Link: https://jf-h5.81.cn/article/sync2096393053659992064
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