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Journal of System Simulation

Abstract

Abstract: To address the core issues of poor adaptability of static fusion strategies in existing recognition models, as well as the simplistic evaluation system and its disconnection from dynamic confrontation requirements, a practical four-dimensional evaluation system encompassing "recognition accuracy, antijamming stability, decision timeliness, and modal complementarity" was constructed, and an operational effectiveness composite index (OECI) capable of dynamically adapting to tactical scenarios was proposed. A multimodal dynamic attention fusion network (MDA-Net) for anti-ship missiles in complex confrontation environments was designed. Through heterogeneous feature decoupling, dynamic weighting of cross-modal attention, and a hierarchical gating decision mechanism, the autonomous evaluation and adaptive fusion of multi-source information reliability under jamming environments were realized. Simulation experiments indicate that under simulated high-intensity confrontation and modal missing scenarios, the OECI of MDA-Net significantly outperforms the baseline models of traditional multi-layer perceptron and convolutional neural networks, exhibiting excellent comprehensive recognition performance, anti-jamming resilience, and environmental adaptability. The constructed complete paradigm of "evaluation system, recognition model, and tactical adaptation" provides a systematic theoretical method and technical support for the design and effectiveness evaluation of intelligent recognition systems for anti-ship missiles.

First Page

2407

Last Page

2424

CLC

E927.7; TP18

Recommended Citation

Zhang Long, Feng Xuanming, Lei Zhen, et al. Combat Effectiveness Evaluation of Anti-ship Missiles for Intelligent Autonomous Recognition[J]. Journal of System Simulation, 2026, 38(8): 2407-2424.

Corresponding Author

Wang Ying

DOI

10.16182/j.issn1004731x.joss.25-0981

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