Design And Implementation Of A Detection System For The Target-Tracking Accuracy

Identification detection and tracking of moving targets have a very wide range of applications in many areas, such as military, transportation and traffic management. Especially in recent decades, it plays an important role in the gradually developing tracking technology in the military field. With the development of precision-guided weapons, tracking ability attracts more and more attention of experts all over the world, and the improvement of tracking accuracy becomes an urgent issue. Because the tracking system of guided weapons is an important part to determine the tracking ability, the detection of tracking accuracy of the target tracking system has become an significant way to improve the performance of guided weapons. Therefore, it is necessary to design an effective image processing platform to measure the tracking accuracy and the tracking ability of a target tracking system.The project is based on a target tracking platform developed by an institute. The image processing platform will be placed on the top of the tracking platform and it will move with the target tracking platform. Then it will identify and detect the target to monitor the tracking status of the platform and output the miss distance in real time.Considering the features of the target tracking system, the project designs a hardware platform based on FPGA and DSP to measure the tracking accuracy. By measuring the miss distance with this system, we can effectively analyze tracking ability and tracking precision of target tracking system, and then improve the system by adjusting the image processing algorithm and the servo control system to achieve the goal of improving the performance of the target tracking system. The first chapter of this paper describes the development status of the detection of tracking accuracy and the significance of the hardware platform. The second chapter describes the design of overall system, the technical indicators and key interface circuit in detail. The third chapter describes the FPGA peripheral circuits and Camera Link interface hardware decoding circuitry, and makes a detailed presentation of digital CCD camera image acquisition, cache and preprocessing. We put forward an improved FPGA-based median filtering algorithm to accelerate the speed of image pre-processing and enhance the real-time of systems. The fourth chapter mainly describes relevant work on DSP, including the peripheral circuit, the build of hardware system based on DSP image processing platform, the design of software, data transmission with EMIF interface, target detection algorithm and interface design of Gigabit Ethernet. The fifth chapter describes the debugging and testing process of hardware platform of system, including the image capture and image cache, interface test of VGA display system, the communication testing of interface of DSP Gigabit Ethernet network and the whole design of the system PCB. The last chapter analyzes the imperfections and the shortcomings of the system, and raises some prospects for the future work.The detection system for tracking accuracy described in this article has been applied to actual project. It has the advantages of high integration, strong image processing capability and satisfactory real-time, and it achieves the desired goal.