A Modeling Approach of Mechanism and Data Fusion for Electro-Optical Imaging Seeker

Abstract

The full digital simulation plays a crucial role in the design, testing evaluation, even combat training of electro-optical imaging-guided weapons. In order to solve the problem of lacking mathematical models for the seeker in the full digital simulation test of electro-optical imaging-guided weapons, this paper proposes a modeling approach for the seeker based on the concept of digital twins, which integrates mechanism and data. Taking typical infrared imaging seeker as an example, this paper constructs the mechanism model of seeker detection and identification process in basis of the principle of infrared detection and identification, then builds the data model of seeker guiding command based on the actual measurement datasets of the infrared imaging seeker under different working scenarios. Finally, based on this "mechanism+data" fusion model, the full digital simulation tests are conducted under different interference conditions for two typical combat scenarios of fixed target and moving target. The test results show that the mechanism and data fusion model can more realistically reflect the performance characteristics of infrared imaging seeker under complex confrontation scenarios.

Keywords

• |electro-optical imaging guidance|seeker|mechanism model|data model|fusion model|full digital simulation|guided weapon