| As an important equipment of aerial recommaissance for military aircraft, Medium-high altitude array CCD aerial camera is used to capture the high resolution visible light image information,after images processing,the reconnaissance imformation can be transmissted to the groun control center, such the evaluations about the targets acquisition and the effect of battlefield targets strike are accoomplished. The operating system is the best equipment of above camera for control and detection, which can diagnose faults, monitor condition and contrl real-time the power supply of aerial camera, and realizes aerial images lossless compression real-time by parallel trammission.Combined with the design of a certain type of medium-high altitude array CCD aerial camera,the aerial camera operating system met requirements the basic reconnamissance mission,which of the technologies researched in deeply further.that provides the theory basis and the practical experiences for aerial camera with the more powerful and perfect performance.Therfore,It is the very important significance to promote the aviation camera business and improve the aciation reconnaissance capability by this paper research.In view of problem of function module variety in the existing general Linux operating system, which not only memory resources oppupied, but also the spped of execution and response speed influenced.Therefore, the transplantation and cutting technology is presented based on PC104bus, and according to the application demand, the Linux system is carried on a practical transformation for improving the response speed to the system task. In view of memory problem because of large image date,the design of image compression subsystem based on hardware and software prarllel technology is given that can achieve image parallel,real-time and lossless compression.The processing rate of data stream and the image compression ratio can reach60MB/S and10:1during the image compression processing. In order to solve the problems of the high failure rate on the aerial camera power supply resulting from the camera maintenance difficult applying of the traditional fault diagnosis methods, the research of fault diagnosis technology is put forward based on PSO-RBF neural network.The fault diagnosis system of the aerial camera power supply based on PSO-RBF is designed to realize the aerial camera fault diagnosis in real-time, full automation.The main research contents include:In a comprehensive working principle analysis of a certain type of medium-high altitude area array CCD aerial camera, the system of the aerial camera is discussed. According to the performance requirements of aerial camera control system, the overall design of aerial camera manipulator system is given.The hardware circuit module of operation system is designed and its functions are analyzed. The software module design of aerial camera control system is given too.The system overall workflow is presented.In view of the key technologies, namely the Linux system cutting technology based on PC104bus, the software and hardware real-time parallel imagelossless compression technology and the fault diagnosis technology based on PSO-RBF neural network, the relevant technical indexes of aerial camera operating system are put forward, and nd conducted in-depth study.(1) The cutting technology on the Linux system based on PC104bus is researched.The cutting technology and method on the linux system is researched.The master control computer board of operating is selected. The hadware resources of PC104motherboard is analyzed. After Carrying on the Boot Loader transplantation for the hardware resource of system, this system is practical transformated through the method using coarse-grained and fine-grained to enhance the preemption of the Linux kernel.By improving the scheduling strategies of kernel real-time scheduler, the embedded system with the capabilities of real-time processing is constructed to meet the needs of system real time. Through above job,the system can reach the task response time<20ms, startup time≤5S.(2) The real-time imge lossless compression and soft-hardware parallel technology are researched.Based on the analysis of based knowledge about image compression and the theory of wavelet transform,the overall design scheme of the parallel image conmpressin subsystem of aerial camera operation system is given after the studing9/7-M wavelet lifting method applied to image lossless compression.The software and hardware is designed of this system.Using DSP+FPGA structure,size of4056×5356large image using two pieces of the same structure compression plate is parallel compressed.The high and low frequency coefficients of wavelet transform are coded respectively by the technology based on the three stage integer lifting.The coding date is packed to reduce the memory access time.The aerial image parallel, real-time and lossless compression can be realized finally,.The compression data stream reaches60MB/S,and the image compression ratio can reach10:1.(3) The fault diagnosis technology is researched based on PSO-RBF neural network.In the analysis of the basic principle of the particle swarm optimization algorithm, the RBF neural network model is established, and the PSO-RBF neural network algorithm is put forward. A fault diagnosis system for aerial camera power supply based on PSO-RBF neural network is designed by above algorithm. To build the hardware platform of fault diagnosis subsystem, the program of the PSO-RBF algorithm is written.The power supply aerial camera is tested by above platform.The results show that this system can realized real-time,automatic chip level fault diagnosis without relying on standard equipment and additional test conditions and fault location automatically.The fault coverage rate of detection reaches100%, the accuracy rate reaches more than95%, the fault components localization rate reaches98%. |
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