Research On Kalman-filter-based Correlated Imaging Of Moving Target

Correlated imaging is an imaging technique that restores the target by reference to the optical path speckle distribution and the optical path intensity correlation of the signal path.As one of the frontier researches in the field of optical imaging,it has important application prospects for far-field imaging,penetrating atmospheric cloud imaging,and penetrating underwater turbulence imaging.Compared with traditional imaging systems,the system of correlated imaging has stronger ability to traverse complex environments and better anti-noise ability,achieve higher resolution imaging,and the system is not complicated to build.Due to its special structure,it has strong security.This dissertation firstly conducted a detailed investigation and analysis of the research status of related imaging and the research status of moving target correlation imaging.In this dissertation,the development of moving target correlated imaging is carried out,and the research of moving target correlated imaging based on Kalman filtering is carried out.The following research contents are mainly studied: the theoretical research of moving target correlated imaging based on Kalman filtering,including the theoretical basis of correlated imaging,based on Theoretical research on motion trajectory prediction of Kalman filter,research on moving target correlated imaging scheme based on Kalman filter;simulation research of moving target correlated imaging based on Kalman filter,including modeling and simulation of moving target correlated imaging in large field of view,based on Karlman filter Simulation of moving target motion trajectory,moving target correlated imaging simulation based on Kalman filter,experimental research of moving target correlated imaging based on Kalman filter,including design and construction of moving target correlated imaging experiment system based on Kalman filter,Experimental study of stationary target correlated imaging,experimental study of moving target correlated imaging based on Kalman filter;research on performance and optimization of moving target correlated imaging based on Kalman filtering,including research on signal-to-noise ratio and frame frequency in moving target correlated imaging Optimization,correlated imaging system and Like optimization algorithms.Based on the above research,this dissertation has obtained some scientific research results: the theoretical part includes the establishment of the model of computational correlated imaging,and the Kalman filter trajectory prediction model is established.Aiming at the above theory,a trajectory speckle compensation method is proposed.The moving target correlated imaging can be realized;the simulation part includes verifying the moving target to cause the imaging resolution degradation of the associated imaging,predicting the motion state of the object based on Kalman filtering,and finally moving the object at a uniform speed of 6 m/s in the 64×64 pixel field of view.The moving target correlated imaging simulation is carried out.The experimental part includes designing an experimental system for moving target correlated imaging.The design control DMD and detector program matching acquisition speed can reach 0.5s/group,and the speckle compensation method based on Kalman filtering is used.Also for imaging the moving target in the experiment.The optimization part includes research on the signal-to-noise ratio(SNR)and imaging frame rate data obtained by correlated imaging simulation based on Kalman filter speckle compensation method,and proposes a targeted optimization scheme for the system,including moving target correlated imaging based on Kalman filter.Device selection and algorithm optimization.