Research On Algorithm Of Linear Trajectory Incoherently Synthetic Aperture Ladar

With the combination of detection model of spotlight synthetic aperture laser radar and data processing method of computer tomography, incoherent synthetic aperture laser radar achieves the remote high-resolution imaging and reduces the difficulty of the hardware implementation of the synthetic aperture laser radar. Because of the limitation of computer tomography, the research is focused on the circular detection mode. In order to extend the application scope of incoherent synthetic aperture laser radar, the imaging algorithm which is applicable to the linear detection mode is studied by theoretical analysis and simulation experiments.The traditional imaging algorithm is studied. The simulation experiments of BP, FBP and ART are performed. Then the imaging performance of these algorithms is analyzed. The limitations of the traditional algorithms are discussed. In order to solve the problem of image distortion caused by the limited-angle data, the working mode of multi path detection is presented. The imaging performance of the traditional algorithms is improved.The feasibility of compressed sensing theory which is applied to linear trajectory incoherent synthetic aperture laser radar is discussed. The simulation experiments of GPSR and POCS-TV are performed. Compared with the traditional algorithms, the compressed sensing theory can effectively reduce the amount of data required for imaging, and can inhibit the distortion caused by the limited-angle data. The imaging model of GPSR is optimized. The imaging performance of GPSR and POCS-TV is compared.A further study of compressed sensing imaging algorithm which is applicable to the linear detection mode is carried out. The cause of image distortion generated in the linear detection mode is analyzed. Then a suitable imaging model is established. The algorithm for this model is given. The imaging performance of this algorithm is analyzed. The effect of data consistency constraint of ART on the results of compressed sensing is discussed. On the basis, an ART aided GPSR-V+TV-H algorithm is proposed. The simulation experiments are performed in the presence and absence of noise. The simulation results verify the superiority of the proposed algorithm. Then the scope of application is discussed.With theoretical analysis and simulation, the high resolution imaging of linear trajectory incoherent synthetic aperture laser radar is realized. The preliminary exploration of linear trajectory incoherent synthetic aperture laser radar is accomplished.