• 中国科技核心期刊
  • JST收录期刊
Volume 25 Issue 新刊3
 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Unmanned Undersea Systems  > 2017  >  25(新刊3): 256-261
SUN Nai-wei, LI Jian-chen, WAN Ya-min. Statistical Modeling of Submarine Target Strength Based on Distribution Function[J]. Journal of Unmanned Undersea Systems, 2017, 25(新刊3): 256-261. doi: 10.11993/j.issn.2096-3920.2017.03.007
Citation: SUN Nai-wei, LI Jian-chen, WAN Ya-min. Statistical Modeling of Submarine Target Strength Based on Distribution Function[J]. Journal of Unmanned Undersea Systems, 2017, 25(新刊3): 256-261. doi: 10.11993/j.issn.2096-3920.2017.03.007
shu

Statistical Modeling of Submarine Target Strength Based on Distribution Function

doi: 10.11993/j.issn.2096-3920.2017.03.007

  • The 705 Research Institute, China Shipbuilding Industry Corporation, Xian 710077, China

  • Received Date: 2017-03-22
  • Rev Recd Date: 2017-04-19
  • Publish Date: 2017-08-20
    Abstract
  • Statistical modeling of benchmark submarine target strength(TS) is performed to cover the shortage of deterministic forecast model. A TS density function model is established by Parzen window estimation. Then to get an unified and succinct expression of the density function model, typical distribution function models are used for optimal fitting of TS estimation. Ultimately an improved χ2 distribution model with three parameters is established. Errors comparison indicates that this improved χ2-distribution model can describe the submarine TS reasonably. This study may provide a reference for submarine target simulation

     

    • FullText(HTML)
  • loading
    • References(13)
  • [1]
    刘伯胜, 雷家煜. 水声学原理[M]. 哈尔滨: 哈尔滨工程大学出版社, 2009.
    [2]
    石秀华, 王晓娟. 水中兵器概论(鱼雷分册)[M]. 西安: 西北工业大学出版社, 2010.
    [3]
    王凯, 李侠, 蔡万勇, 等. 影响军用复杂目标RCS起伏的主要因素分析[J]. 空军雷达学院学报, 2012, 26(1): 1-3.

    Wang Kai, Li Xia, Cai Wan-yong, et al. Analysis of Major Factors on RCS Variation of Military Complex Targets[J]. Journal of Air Force Radar Academy, 2012, 26(1): 1-3.
    [4]
    Xu Xiao-jian, Huang Pei-kang. A New RCS Statistical Model of Radar Targets[J]. IEEE Trans. Aerospace and Electronic Systems, 1997, 33(2): 710-714.
    [5]
    丁凯, 赵红云.一种目标角闪烁统计模型算法及仿真[J].舰船电子工程, 2011, 31(3): 133-134, 161.

    Ding Kai, Zhao Hong-yun. An Algorithm and Simulation of Angular Glint Statistical Model[J]. Ship Electronic Engineering, 2011, 31(3): 133-134, 161..
    [6]
    李莹, 黄沛霖, 武哲. 基于不同角域RCS均值的雷达探测模型[J]. 北京航空航天大学学报, 2008, 34(6): 627-629.

    Li Ying, Huang Pei-lin, Wu Zhe. Model of Radar Network Detection Based on Average RCS Value of Different Angle Territory[J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(6): 627-629.
    [7]
    李建龙, 王新宁, 范军. 潜艇目标强度起伏统计模型[J]. 声学技术, 2014, 33(1): 1-5.

    Li Jian-long, Wang Xin-ning, Fan Jun. A Statistical Fluctuation Model of Submarine Target Strength[J]. Technical Acoustics, 2014, 33(1): 1-5.
    [8]
    Hall P, Wand M P. On the Accuracy of Binned Kernel Density Estimators[J]. Journal of Multivariate Analysis, 1996, 56(2): 165-187.
    [9]
    Botev Z I, Grotowski J F, Kroese D P. Kernel Density Es-timation via Diffusion[J]. The Annals of Statistics, 2010, 38(5): 2916-2957.
    [10]
    胡章芳, 郭瑞红. 实验数据处理方法的探讨[J]. 重庆邮电学院学报(社会科学版), 2004(z1): 151-153.

    Hu Zhang-fang, Guo Rui-hong. Discussion on the Methods of Experimental Data Processing[J]. Journal of Chongqing University of Post and Telecommunication (Social Sciences Edition), 2004(z1): 151-153.
    [11]
    桂现才. 基于相对熵的一种属性约简算法[J]. 计算机工程与应用, 2006, 42(33): 197-199.

    Gui Xian-cai. Attribute Reduction Algorithm Based on the Relative Entropy[J]. Computer Engineering and Applications, 2006, 42(33): 197-199.
    [12]
    庄钊文, 袁乃昌. 军用目标雷达散射截面预估与测量[M]. 北京: 科学出版社, 2007.
    [13]
    李琦, 薛凯, 李慧宇, 等. 太赫兹雷达散射界面测量研究进展[J]. 激光与光电子学进展, 2012, 49(6): 1-8.

    Li Qi, Xue Kai, Li Hui-yu, et al. Advances in Research of Terahertz Radar Cross Section Measurements[J]. Laser & Optoelectronics Progress, 2012, 49(6): 1-8.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 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
    Get Citation
    PDF
    XML

    Article Metrics

    Article Views(1140) PDF Downloads(348) Cited by()
    Proportional views
    Related
    Service
    Subscribe
    Copyright：陕ICP备09015163号Address:No. 96, Jinye Road, Xi'an, Shaanxi
    Code：710077Tel: 029-88327279QQ: 767358370
    Email: bianjibu705@sohu.com 767358370@qq.com
    Email Alert RSS
    Taobao
    Micro

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return