Advanced Search
Volume 32 Issue 1
Aug.  2010
Turn off MathJax
Article Contents
Liu Tao, Lv Jiang-bei, Wang Shu-hong, Lu Huan-zhang. Exo-atmospheric Discrimination of Infrared Ballistic Space Target Based on the Time-Delay Recurrent Neural Network[J]. Journal of Electronics & Information Technology, 2010, 32(1): 80-85. doi: 10.3724/SP.J.1146.2009.00015
Citation: Liu Tao, Lv Jiang-bei, Wang Shu-hong, Lu Huan-zhang. Exo-atmospheric Discrimination of Infrared Ballistic Space Target Based on the Time-Delay Recurrent Neural Network[J]. Journal of Electronics & Information Technology, 2010, 32(1): 80-85. doi: 10.3724/SP.J.1146.2009.00015

Exo-atmospheric Discrimination of Infrared Ballistic Space Target Based on the Time-Delay Recurrent Neural Network

doi: 10.3724/SP.J.1146.2009.00015
  • Received Date: 2009-01-07
  • Rev Recd Date: 2009-06-29
  • Publish Date: 2010-01-19
  • This paper presents a Time-Delay Recurrent Neural Network (TDRNN) for exo-atmospheric ballistic space infrared target discrimination. The TDRNN employs adaptive time delays and recurrences where the adaptive time delays make the network choose the optimal values of time delays for the temporal location of important information in the input sequence, and the recurrences enable the network to have dynamic discrimination function. The IR radiation data of space target considering the sensor effect is simulated, taking into account the synthetic factors of heat parameter and motion, the space environment radiation and the sensor effect. The target discrimination experiment is developed, based on dynamic IR radiation simulated data of four typical ballistic space target. The simulation results show that TDRNN have better discrimination ability.
  • loading
  • [1] 武春风, 张伟, 李洁, 等. 基于时空信息的红外成像系统在探测识别目标时所面临的问题及分析[J]. 光学技术, 2005, 31(2):231-234.Wu Chun-feng, Zhang Wei, and Li Jie, et al.. Problems and itsanalysis of infrared imaging detection and identificationfacing[J]. Optical Technique, 2005, 31(2): 231-234. [2] 张兵. 光学图像末制导中的点目标检测与识别算法研究[D].[博士论文], 国防科技大学, 2005.Zhang Bing. Point target detection and recognitionalgorithms in optical image terminal homing system[D].[Ph.D. dissertation], National University of DefenseTechnology, 2005. [3] Cheryl R. Exo-atmospheric discrimination of thrusttermination debris and missile segments[J]. Johns HopkinsAPL Technical Digest, 1998, 19(3): 315-321. [4] Xiao Huai-tie and Zhuang Zhao-wen. Aircraft targetrecognition using adaptive time-delay neural network[C][J].NAECON 1997., Proceedings of the IEEE 1997 National,Aerospace and ecectronics conference.1997, 2:764-768 [5] Kim Sung-suk. Time-delay recurrent neural network fortemporal correlations and prediction[J].Neurocomputing.1998, 20(2):253-263 [6] Kim Sung-suk and Mark Hasegawa-johnson, et al..Automatic recognition of pitch movements using multilayerperceptron and time-delay recursive neural network[J].IEEESignal Processing Letters.2004, 11(7):645-648 [7] 肖业伦. 航空航天器运动的建模[M]. 北京: 北京航空航天大学出版社, 2006: 52-74.Xiao Ye-lun. Dynamics Modeling of Aeronautic andAtmospheric Flight[M]. Beijing University of Aeronautics andAstronautics Press, 2006: 52-74. [8] 毛红霞, 李霞, 等. 空间目标与环境红外特性理论建模及其场景生成[J]. 红外与激光工程, 2007, 36(5): 607-610.Mao Hong-xia and Li Xia, et al.. Simulation of infraredradiation from outer space targets and environment, and itsgeneration technique of scene[J]. Infrared and LaserEngineering, 2007, 36(5): 607-610. [9] 曹西征, 郭立红. 基于图像的飞行器红外辐射特性测量[J]. 光学技术, 2007, 22(2): 299-304.Cao Xi-zheng and Guo Li-hong. Measurement of the infraredradiation characteristic of the aerobat based on images[J].Optical Technique, 2007, 22(2): 299-304.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (3772) PDF downloads(827) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return