Advanced Search
Volume 33 Issue 4
May  2011
Turn off MathJax
Article Contents
Chen Xiao-Long, Liu Ning-Bo, Song Jie, Guan Jian, He You. Fractal Feature Discriminant of Sea Clutter in FRFT Domain and Moving Target Detection Algorithm[J]. Journal of Electronics & Information Technology, 2011, 33(4): 823-830. doi: 10.3724/SP.J.1146.2010.00486
Citation: Chen Xiao-Long, Liu Ning-Bo, Song Jie, Guan Jian, He You. Fractal Feature Discriminant of Sea Clutter in FRFT Domain and Moving Target Detection Algorithm[J]. Journal of Electronics & Information Technology, 2011, 33(4): 823-830. doi: 10.3724/SP.J.1146.2010.00486

Fractal Feature Discriminant of Sea Clutter in FRFT Domain and Moving Target Detection Algorithm

doi: 10.3724/SP.J.1146.2010.00486
  • Received Date: 2010-05-14
  • Rev Recd Date: 2010-12-16
  • Publish Date: 2011-04-19
  • A new moving target detection algorithm is proposed based on the joint fractal properties discriminant of sea clutter in FRactional Fourier Transform (FRFT) domain. At first, statistical characteristic of sea clutter data in FRFT domain is analyzed and simulations of fractal curves in different polarizations are conducted, which indicates the self-similarity feature. Then, determination method of fractal parameters and scale-invariant interval is given and influence of transform order on the estimation of fractal parameters is also discussed. Finally, differences of fractal dimension and intercept in FRFT domain, which are calculated from adjacent range bin or time series of radar echo, can be used as test statistic. Real sea clutter in different polarizations is used for verification and the results present that the proposed algorithm has good performance for weak moving target detection and can also give high estimation accuracy of moving conditions.
  • loading
  • Carretero-Moya J, Gismero-Menoyo J, and Asensio-Lpez A, et al.. Application of the Radon transform to detect small- targets in sea clutter[J]. IET Radar, Sonar and Navigation, 2009, 3(2): 155-166.[2] Younsi A, Greco M, Gini F, and Zoubir A M. Performance of the adaptive generalized matched subspace constant false alarm rate detector in non-Gaussian noise: an experimental analysis[J]. IET Radar, Sonar and Navigation, 2009, 3(3): 195-202. [3] Hu J, Tung W W, and Gao J B. Detection of low observable targets within sea clutter by structure function based multifractal analysis[J]. IEEE Transactions on Antennas and Propagation, 2006, 54(1): 136-143.[4] Sun Hong-bo, Liu Guo-sui, and Gu Hong. Application of the fractional Fourier transform to moving target detection in airborne SAR[J]. IEEE Transactions on Aerospace and Electronic Systems, 2002, 38(4): 1416-1424.[5] Lv Xiaolei, Xing Meng-dao, and Zhang Shou-hong, et al.. Keystone transformation of the Wigner-Ville distribution for analysis of multicomponent LFM signals[J]. Signal Processing (Elsevier), 2009, 89(5): 791-806.[6] Ltfiye Durak and Orhan Ar-kan. Short-time Fourier transform two fundamental properties and an optimal implementation[J]. IEEE Transactions on Signal Processing, 2003, 51(5): 1231-1242.[7] 张南, 陶然, 王越. 基于变标处理和分数阶傅里叶变换的运动目标检测算法[J]. 电子学报, 2010, 38(3): 683-688.Zhang Nan, Tao Ran, and Wang Yue. A target detection algorithm based on scaling processing and fractional Fourier transform[J]. Acta Electronica Sinica, 2010, 38(3): 683-688.[8] Chen Yang-quan, Sun Rong-tao, and Zhou An-hong. An improved Hurst parameter estimator based on fractional Fourier transform[C]. Proceedings of the ASME 2007 International Design Engineering Technical Conferences Computers and Information in Engineering Conference, Las Vegas, Nevada, USA, 2007: 1-11.[9] 李宝, 关键, 刘宁波. 海杂波FRFT域的分形特性及目标检测[J]. 雷达科学与技术, 2009, 7(3): 210-213.Li Bao, Guan Jian, and Liu Ning-bo. Target detection based on fractal dimension of sea clutter in fractional Fourier transform domain[J]. Radar Science and Technology, 2009, 7(3): 210-213.[10] Drosopoulos A. Description of the OHGR Database[R]. Technology Note No. 94-14, Ottawa: Defence Research Establishment, 1994: 1-30.[11] 姜斌, 王宏强, 黎湘等. S波段雷达实测海杂波混沌分形特性分析[J]. 电子与信息学报, 2007, 29(8): 1809-1812.Jiang Bin, Wang Hong-qiang, and Li Xiang, et al.. The analysis of chaos and fractal characteristic based on the observed sea clutter of S-Band radar[J]. Journal of Electronics Information Technology, 2007, 29(8): 1809-1812.
  • 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 (4025) PDF downloads(1037) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return