| The single-mode guidance technology cannot adapt to the higher requirements of modern warfare because of the limitations of its information acquisition and the increasingly complex use environment.In order to destroy the target more effectively,people began to combine different types of seeker modes for guidance.Compound guidance can fuse the complementary or redundant information obtained by multiple sensors to improve the guidance accuracy of the seeker,and the combat efficiency is very high.Multimode composite seekers have become the latest development direction of modern seekers.This design uses infrared/visible light dual-mode composite guidance,which mainly uses the complementary performance of infrared sensors and visible light sensors to describe the target more comprehensively,achieve anti-occlusion,and have all-weather combat capabilities.This article first designs the hardware platform of the mini photoelectric seeker.The main control chip is XC7Z030 of the XILINX ZYNQ-7000 series.In the chip,the PL part realizes the collection and storage of infrared and visible light images,and the PS part realizes the image fusion and target tracking algorithm.The hardware platform includes a power module,an image acquisition module,an image cache module,and an image compression module.After designing the schematic diagram and PCB layout,the board is finally produced.According to the function of each module,the main control software,image acquisition software,image cache software,and image fusion software are designed and tested to ensure the correctness of the design.When designing the target tracking module,considering that the Camshift algorithm has the advantages of adaptively adjusting the size of the search window and resisting the deformation of the target posture,the Kalman filter algorithm can improve the tracking of large-occlusion,fast-moving targets.In this paper,two different tracking algorithms are designed.The first algorithm is to fuse infrared and visible light pixels at the pixel level to obtain the fusion image,and then use the Camshift algorithm based on Kalman to track the motion of the visible light image,infrared image,and fusion image sequence.The second algorithm is based on the different characteristics of infrared images and visible images,and proposes to use the improved Kalman filter based on Kalman filtering for visible images,and the Kalman improved template matching algorithm for infrared images,according to the similarity coefficients between candidate targets and target templates in the tracking process,set weights to determine the target position after fusion.In this paper,the target tracking module of the mini seeker is designed,and two target tracking algorithms are designed.After analysis of the experimental simulation results,the feature-level fusion tracking algorithm based on the different characteristics of infrared and visible light images has good tracking effect.Finally,the ARM NEON technology is used to optimize and accelerate the feature-level fusion tracking algorithm.On the hardware platform,the fusion tracking results of infrared images and visible light images can be stably output to achieve real-time tracking of the specified target. |
