A 2025 research paper by V. P. Gorodnov, “Model for Assessing Potential Capabilities of Surface-to-Air Missile Forces Group to Repel Air Attacks,” addresses one of the most important questions in modern air defense: whether existing models overestimate the real combat capability of surface-to-air missile groupings. The paper was published in Advances in Military Technology, volume 20, issue 2, pages 449–465, with DOI 10.3849/aimt.01957. (aimt.cz)
For SockoPower, the strategic value is not in reproducing the mathematical model. The value is in the warning: air defense capability can be overstated when models fail to represent the structure, overlap, vulnerability, and combat degradation of surface-to-air missile systems.
The paper develops an analytical model using continuous-time, discrete-state Markov processes. According to the abstract, the model accounts for the structure of surface-to-air missile systems in ground-based group battle formations, as well as the formation of means of air attack in the air. Its validity is tested by showing that the model can be reduced to known and previously verified models.
The key finding is stark. The paper states that relying on traditional models can overestimate the effectiveness of SAM groupings by up to three times. That is not a small modeling error. In air defense planning, a threefold overestimation can change conclusions about whether a force grouping is capable of accomplishing its mission.
This is why the topic belongs in Strategic Reports. Surface-to-air missile systems are often discussed as individual platforms: range, radar, missile type, altitude, launcher count, and kill probability. But group air defense is not simply the sum of individual systems. It depends on fire-zone overlap, target approach geometry, ammunition stock, survivability of launchers and radars, battle damage, target sequencing, and the loss of defensive assets during the engagement.
The paper’s importance lies in treating SAM groupings as dynamic combat systems rather than static inventories. A battery or launcher that is effective at the start of an engagement may not remain available throughout the battle. A model that assumes stable defensive capacity can therefore produce optimistic results. A model that accounts for changing states, losses, overlapping zones, and stochastic engagement outcomes gives a more realistic picture.
For defense companies and procurement planners, the implication is direct. Air defense capability cannot be judged only by hardware specifications. It must also be evaluated through battle modeling, integration quality, sensor coverage, command-and-control performance, survivability, ammunition depth, and the ability of grouped systems to sustain performance under repeated attack.
The industrial signal is also important. Demand for air defense systems is rising globally, but buyers are not only purchasing launchers and interceptors. They are buying confidence in layered defense performance. That confidence depends on modeling tools, simulation environments, validation data, training systems, and operational analytics. The market for air defense is therefore also a market for assessment methods.
This paper is especially relevant because it comes from a Ukrainian defense-academic context. Ukraine’s war experience has made air defense modeling more than an academic question. The effectiveness of SAM groupings against mixed air attacks, drones, cruise missiles, aircraft, and other air threats has immediate operational and industrial consequences.
The narrow takeaway is this: air defense modernization is not only a missile problem. It is a modeling problem. If the model is too optimistic, procurement decisions, deployment assumptions, and mission-readiness judgments can all be distorted before the first shot is fired.
Why It Matters
This paper matters because it challenges overly optimistic assessments of surface-to-air missile force groupings. If traditional models can overestimate effectiveness by up to three times, then air defense planning, procurement, and readiness evaluation need more realistic modeling of overlapping fire zones, system losses, engagement dynamics, and group-level combat degradation.
SockoPower Takeaway
The strategic lesson is clear: air defense capability is not just platform capability. It is system capability under stress. Modern SAM forces must be assessed as dynamic group formations that lose assets, shift states, and face unpredictable air-attack patterns. The quality of the model can shape the quality of the defense decision.
What to Watch Next
Watch whether defense planners and contractors place greater emphasis on validated air-defense simulation models, not only interceptor performance.
Watch how Ukraine’s wartime air-defense experience influences future modeling of SAM groupings, layered defense, and air-attack repulsion.
Watch whether air defense procurement increasingly includes analytics, simulation, C2 integration, and training systems as part of the package.
Watch how vendors demonstrate group-level performance rather than isolated platform specifications.
References
V. P. Gorodnov, “Model for Assessing Potential Capabilities of Surface-to-Air Missile Forces Group to Repel Air Attacks,” Advances in Military Technology, 2025, 20(2), 449–465. DOI: 10.3849/aimt.01957.
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