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| A High-Confidence Jamming Digital Model Construction Technology Based on Live Equipment Data-Driven Approaches |
| LIU Yuxu， ZHANG Yexin， YAN Tianxu， ZHU Weihua |
| Shanghai Electro-Mechanical Engineering Institute， Shanghai 201109， China |
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Abstract Addressing the issue of low consistency and credibility of traditional interference digital models compared to indoor interference generators, this paper proposes an intelligent optimization technique for interference digital models based on indoor data verification. Through the development of a multi-domain loss function that incorporates temporal, spectral, and energy aspects as the verification metric, coupled with the implementation of a Bayesian optimization strategy for the intelligent tuning of the interference digital model parameters, the congruence between the interference digital model and the indoor interference generator has been attained at a level of up to 90%. This high-consistency interference digital model, combined with indoor data, can be used to construct digital interference scenarios.
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Received: 29 September 2025
Published: 13 January 2026
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2025, Vol. 8 
