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基于PCI-e接口的红外图像实时显示与存储系统设计与实现 被引量:1

Design and Implement of Real-time Display and Storage System of Infrared Image Based on PCI-e Interface
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摘要 为实现红外预警系统中高速图像的实时显示和存储功能,以Xilinx公司的Virtex5系列FPGA芯片为核心处理器设计高速红外图像实时显示与存储系统,系统首先通过光纤端口接收高速图像数据,将数据复制后分两路通过PCI-e接口分别发送至控制计算机以进行显示和存储。设计过程中光通信模块与PCI-e通信模块通过FPGA内核实现,不需要额外采用相关控制芯片,从而减少了系统功耗,增强了系统集成性。实验结果表明,通过PCI-e接口实现处理系统与计算机间通信较传统的PCI接口能大幅提高通信速率,采用x1模式时,实际通信速率可达784MByte/s,满足红外预警系统实时性方面的要求。 To realize the display and storage of the infrared early-warning system, a system using the Virtex 5 FPGA chip made by Xilinx is proposed. The high speed digital image informa-tion can be receirved by the optical-fiber interface in the system and, the two same pieces of data are transfered to the control computer through the PCI-e interface for the display and storage. The k.ernel of the FPGA is used to make the controller of the optical-fiber unit and the PCI-e unit without any other chips. Thus the power waste is decreased and the integration increased. The results of the experiments show the communication speed using PCI-e interface is higher than that using PCI-interface and a level of 784 MByte/s with the xl mode is reached, the real-time perfor-mance requirements of this system are thus satisfied.
出处 《光电子技术》 CAS 北大核心 2013年第1期9-12,35,共5页 Optoelectronic Technology
基金 国家自然科学基金资助项目NO.61003148
关键词 PCI—e 实时显示 实时存储 红外图像 PCI-e real-time display real-time storage infrared image
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  • 1谢登科,胡修林,张蕴玉.基于FPGA实现的DSP远程在线编程[J].微计算机信息,2005,21(07Z):147-149. 被引量:4
  • 2张长城,杨德贵,王宏强.基于TS101S和CPCI的红外图像采集处理系统的设计[J].红外,2006,27(10):17-20. 被引量:3
  • 3张赢,李琛.基于粗糙集理论的神经网络研究及应用[J].控制与决策,2007,22(4):462-464. 被引量:11
  • 4ZHOU Hang-xing, LAI Run, LIU Shan-qiao. A New Real Time Processing System for Imaging Signal Based on DSP&FPGA [J]. Infrared Physics & technology(S1350-4495), 2005, 46(4): 277-281.
  • 5DUAN Jing-hong, DENG Ya-ling, LIANG Kun. Development of Image Processing System Based on DSP and FPGA [C]//The Eighth International Conference on Electronic Measure and Instruments, Xi'an, china, July 16-18, 2007, 2: 791-794.
  • 6Mariatos V, Adaos K D, Alexiou G P. A Novel System-on-chip Architecture for Efficient |mage Processing [C]//The 19th IEEE/IFIP International Symposium on Rapid SystemPrototyping, Monterey, CA, June 2-5, 2008: 165-171.
  • 7Franz Rinnerthaler, Wilfried Kubinger, JosefLanger, et al. Boosting the Performance of Embedded Vision Systems Using a DSP/FPGA Co-processor System [C]//The Eighth International Conference on Electronic Measure and Instruments, Montreal, Que, Oct7-10, 2007: 1141-1146.
  • 8LI Meng-xin, WU Cheng-dong, JIN Feng. A Vision-Based Inspection System using Fuzzy Rough Neural Network Method [C]//Proceedings of the Fifth International Conference on Machine Learning and Cybernetics, Dalian, China, Aug 13-16,2006: 3228-3232.
  • 9Pawlak Z. Rough sets: Theoretical aspects of reasoning about data [M]. Boston: Kluwer Academic Publishers, 1991.
  • 10Benett R, Bredensteiner E J. Geometry learning [J]. International Journal of Computer Vision (S0920-5691), 1996, 36(2): 63-70.

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