Research And Implementation Of Infrared Terminal Guidance Preprocessing And Data Processing

In warfare, for the electromagnetic environment is very complex and the enemy does everything possible to destroy the working conditions of precision guided weapons, the precision guidance system must be of a strong anti-jamming capability and should destroy the target in a very short time. In order to shorten the image preprocessing and data processing time for having more time to complete the target detecting,identifying and tracking in complex background images, in this dissertation , image preprocessor and data processor were studied and realized. The main research contents of the dissertation as follows:1. According to the main task of infrared terminal guidance, a high-performance infrared imaging guidance of high speed, small size, light weight, low power was designed. In the system, FPGA was used to realize the image preprocessor and the data processor, enhancing the system's real-time performance.2. In infrared imaging guidance system, the input image was input pixel by pixel in accordance with the scanning frequency. According to the principle of that the two-dimensional discrete Fourier transform can be realized through two transforms of one-dimensional discrete Fourier transform in the X direction and the Y direction. FFT in the X direction was completed by FPGA during the time of the input image transmission. When all the pixels of the image were input, FFT in Y direction started. In this way, the system's real-time performance was enhanced. In the system, the size of the input image was 512×512, so the number of the transform points in the X direction and the Y direction was 512. In order to save transform time, the butterfly based two,the butterfly based four,pipeline structure and parallel algorithm were adopted and the system's real-time performance was enhanced.3. In the target tracking, the most moving targets have great mobility. In this paper, the target was tracked by using the interactive multi-mode arithmetic. In the algorithm two models were used: one model was the uniform linear motion model, the other was the uniform acceleration movement model. The simulation results showed that the algorithm can be used to track the target effectively and the guidance precision was improved.