Laser Linear Array Dynamic Scanning Detection Model and Computational Methods

Laser fuzes, with the advantages of compact size and high resolution, are widely used in munitions, and their dynamic detection capability determines the damage effectiveness. Currently the laser detection has transitioned from single-point detection to linear array scanning, but simulation studies are mostly limited to single scenario with insufficient dynamic simulation capabilities and real-time computational efficiency. This paper proposes a dynamic scanning detection model, a multi-material scattering model and an efficient parallel computing method, and designs a full-chain laser linear array imaging simulation system. A laser linear array push-sweeping model and a projectile-target engagement model are established to achieve the push-sweeping imaging in dynamic engagement scenarios. A multi-target bidirectional reflectance distribution function (BRDF) scattering model for camouflage coatings, desert terrains and other materials is constructed. In the BRDF model, the key parameters are calibrated based on experimental data, effectively reducing the average BRDF error. To enable the efficient simulation of dynamic projectile-target engagement scenarios, a parallel computing architecture is designed based on the aforementioned dynamic scanning detection model and multi-material scattering model. The graphics processing unit and bounding volume hierarchy approach is used to optimize the intersection judgment logic among light rays and scene facets, significantly enhancing the simulation efficiency for facet-based scenarios. The simulated results of echo power under different ground backgrounds are consistent with the BRDF background relationships, demonstrating the accuracy of the proposed model.