Parameters Design And Algorithm Engineering Implementation Of Long-range Ship Targets Wide-swath Imaging

The wideband microwave imaging seeker has been processed through imaging,matching and recognition to provide the necessary data support for precise guidance systems,such as target positioning,bullet correction and target selection.The technology has been widely used in strategic targets reconnaissance and combat.In the process of attacking sea-surface ship targets,not only will there be a deviation of the prior position due to the navigation of the ship,but also the positional error of the missile cannot be corrected through terrain matching.Therefore,it is necessary to study long-range wide-swath synthetic aperture radar systems,which can complete the imaging,identification and positioning of target ships at a long distance,and can provide necessary prior information for missile maneuvers and final attacks.This thesis mainly studies the long-distance wide-swath imaging,positioning,identification and engineering implementation of ship target,and separately study the technology from the aspects of parameter and algorithm design and system engineering implementation,and the research results are analyzed and verified.In the aspect of parameters and algorithm design,aiming at the contradiction between the upper and lower limits of pulse repetition frequency for both high-speed platform and wide-swath imaging,this thesis proposes a method to reduce the pulse repetition frequency by introducing the cell average detector and the sum-difference beam angle measurement.According to the purpose of low-resolution imaging search and high-resolution imaging detection,different imaging algorithms are selected for two-dimensional imaging of the ship targets,and the algorithm of recognition and positioning is designed to estimate the relative position and size of the ship targets.In the aspect of system engineering implementation,the TMS320C6678 high-performance digital signal processor is selected as the basis for engineering implementation based on the computational operand and real-time requirements of the algorithm;secondly,the data flow direction and the signal processor's overall workflow are designed based on the internal connection topology of the signal processor;Finally,analyze the key technologies in the engineering implementation,and complete the transplantation of imaging,positioning and recognition algorithms to the dedicated digital signal processor.Finally,relying on the synthetic aperture radar system,the correctness and reliability of the imaging process and the engineering implementation results are verified through the performance test and the internal and external field experiments.