Advanced Search
Volume 30 Issue 12
Jan.  2011
Turn off MathJax
Article Contents
Li Jiang-yuan Wang Jian-guo. The Method to Evaluate SAR Jamming Based on the Statistical Difference[J]. Journal of Electronics & Information Technology, 2008, 30(12): 2854-2857. doi: 10.3724/SP.J.1146.2007.00903
Citation: Li Jiang-yuan Wang Jian-guo. The Method to Evaluate SAR Jamming Based on the Statistical Difference[J]. Journal of Electronics & Information Technology, 2008, 30(12): 2854-2857. doi: 10.3724/SP.J.1146.2007.00903

The Method to Evaluate SAR Jamming Based on the Statistical Difference

doi: 10.3724/SP.J.1146.2007.00903
  • Received Date: 2007-06-09
  • Rev Recd Date: 2008-01-10
  • Publish Date: 2008-12-19
  • In this paper, a new criterion which is based on the statistical distinction to evaluate SAR jamming effect is proposed, according to the difference of the jamming signal with the target signal. Recurring to Independent Component Analysis (ICA) method, the jamming remove issue can be translated into the blind separation problem. The white noise jamming and clutter jamming SAR images is used as the input to the ICA algorithm respectively, and make use of kurtosis to classify the basis images which span into two different signal subspaces. Because of the clutter jamming signal is similar to the target returned signal on the statistical characteristic, the effect on the jamming remove is degraded contrasted to the white noise jamming. Theory analysis and simulation validate that the jamming method based on the target signal characteristic is availability.
  • loading
  • Di Bisceglie M and Galdi C. CFAR detection of extendedobjects in high-resolution SAR images [J].IEEE Trans. onGeoscience and Remote Sensing.2005, 43(4):833-843[2]Greco M S and Gini F. Statistical analysis of high-resolutionSAR ground clutter data [J].IEEE Trans. on Geoscience andRemote Sensing.2007, 45(3):566-575[3]李江源, 王建国, 杨建宇. 基于数字储频式的对SAR 类杂波干扰[J]. 电子科技大学学报, 2005, 34(6): 739-742.Li Jiang-yuan, Wang Jian-guo, and Yang Jian-yu. The similarclutters jamming to SAR based on digital frequencymemorizer [J]. Journal of the University of Electronic Scienceand Technology of China, 2005, 34(6): 739-742.[4]李江源, 王建国, 杨建宇. 基于参数引导的对宽带SAR 的类杂波干扰[J].电子与信息学报.2006, 28(10):1812-1816浏览[5]李江源, 王建国. 三种合成孔径雷达干扰方法的性能评估[J].电子与信息学报.2007, 29(11):2729-2733浏览[6]Comon P. Independent component analysisA new concept[J].Signal Processing.1994, 36(1):287-314[7]Delfosse N and Loubaton P. Adaptive blind separation ofindependent source: A deflation approach[J]. SignalProcessing, 1995, 45(1): 59-83.[8]Conte E, De Maio A, and Galdi C. Statistical analysis of realclutter at different range resolutions[J].IEEE Trans. onAerospace and Electronic Systems.2004, 40(3):903-918[9]DAgostino R B and Stephens M A. Goodness of FitTechniques. New York: Marcel Dekker [M], 1986: 321-342.[10]Cichocki A and Unbehauen R. Robust neural networks withon-line learning for blind identification and blind separationof sources [J].IEEE Trans. on Circuits and Systems I:Fundamentals Theory and Applications.1996, 43(11):894-906[11]Cichocki A and Unbehauen R. Robust learning algorithm forblind separation of signals [J].Electronics Letters.1994,30(17):1386-1387[12]Amari S, Chen T P, and Cichocki A. Stability analysis ofadaptive blind source separation[J].Neural Networks.1997,10(8):1345-1351[13]马建仓, 牛奕龙, 陈海洋. 盲信号处理[M]. 北京国防工业出版社, 2006: 93-115.
  • 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 (3643) PDF downloads(881) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return