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The Real-time Video Processing System Develop of Photoelectric Theodolite Simulator

Author: ZhengHuaQiang
Tutor: LiuXiaoMing
School: Chongqing University
Course: Circuits and Systems
Keywords: Photoelectric Theodolite Camera Link interface The video sampling rate conversion FPGA Video Capture
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 67
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Abstract


Many systems developed in the field of aerospace and military simulation process, the test vehicle outside the measured data is essential to the process. Photoelectric the theodolite as the branch of a photogrammetric equipment, widely used in the kinetic energy of the aircraft exterior ballistic measurement data acquisition and flight status optical measurement. However, due to the kinetic energy of the aircraft has a complex, high speed, trajectory and target smaller field of view and identify the difficulties, the operator must undergo rigorous simulation training to accurately track aircraft. In many the theodolite simulation training program, moving target simulator based on theodolite hardware interface is the only way to achieve real, real-time, full-function analog theodolite program, but due to the constraints of the technical level, difficult to realize. In recent years, with the development and wide application of microelectronics technology, VLSI technology, and digital signal processing technology, this program can be achieved. This article describes the design of hardware and software of the the photoelectric theodolite simulator in real-time video processing system. The paper first study analyzed the photoelectric theodolite original visible imaging components: DS-21-01M60 1024 x 1024 progressive scan monochrome high-precision camera and infrared imaging components: specific based the Stirling refrigeration ways MWIR imager principle, interface and technical conditions. Second, the authors refer to and introduced low-swing differential signal transmission technology principle, application and design principle and structure of the Camera Link interface standard signal structure and port mode and CVBS (baseband television signal) signal. Again, the article describes the principles of the theory and lattice-based video sample rate conversion based on video sampling rate conversion filter design and system needs deinterlacing, frame rate conversion, video scaling application analysis algorithm, characteristics and inadequate. Subsequently, the authors discuss the the PCB hardware platform of their own design and draw demonstration program of the system hardware, according to system requirements, given the chip select of the respective portions of the hardware system, the overall block diagram of the platform, and the specific design process, and focus on analysis of the key circuit schematic of the circuit, theodolite moving target simulation build good hardware platforms. Finally, the article describes the detailed FPGA design process, the design based on the I2C bus system initialized video capture and a specific configuration register previously explored video sample rate conversion algorithm designed based on edge detection and venue vertical The filtered motion adaptive algorithm, implemented in the encoding structure based on the analysis of the ITU-R BT.656 video decoding algorithm and the implementation structure of these modules, simulation waveforms and the actual effect is given at the same time. The design stems from the cooperation with other units, project design results will be used for the the photoelectric theodolite moving target simulator and practical significance. The system makes full use of the advantages of FPGA devices, and make the system more flexible, can be cut and good integration of features, and the whole system has good scalability, which provide a platform for the subsequent development of the project.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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