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Volume 17 Issue 6
 
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Article Navigation >  Journal of Unmanned Undersea Systems  > 2009  >  17(6): 031-34
ZHONG Xiao-feng. A Novel Constant False Alarm Rate Detector Based on Ordered Data Variability[J]. Journal of Unmanned Undersea Systems, 2009, 17(6): 031-34. doi: 10.11993/j.issn.1673-1948.2009.06.007
Citation: ZHONG Xiao-feng. A Novel Constant False Alarm Rate Detector Based on Ordered Data Variability[J]. Journal of Unmanned Undersea Systems, 2009, 17(6): 031-34. doi: 10.11993/j.issn.1673-1948.2009.06.007
shu

A Novel Constant False Alarm Rate Detector Based on Ordered Data Variability

doi: 10.11993/j.issn.1673-1948.2009.06.007

  • Military Representative Office, Stationed in Xi′an DongFeng Instrument Factory, Xi′an 710065,China

  • Received Date: 2009-02-05
  • Rev Recd Date: 2009-06-18
  • Publish Date: 2009-12-30
    Abstract
  • In order to make full use of reference cell information and decrease constant false alarm rate(CFAR) loss, a new CFAR detector (named MOSODV-CFAR) based on ordered statistics(OS) and ordered data variability (ODV) is proposed. Its leading window and lagging window use OS method and ODV method to create two local noise estimations respectively, then the sum of the two estimations is taken as a global noise power estimation.Assuming type of target is Swerling II and noise has Gaussian distribution,an analytic expression of false alarm rate for MOSODV under homogeneous background is derived. In Comparison with mean ordered statistics MOSCM and MOSAC methods, simulation results show that the MOSODV is endowed with better detection performance under homogeneous environment and multi-target interference,and it exhibits better performance of false alarm control against clutter edge situations.

     

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    • References(6)
  • [1]
    Finn H M, Johnson R S. Adaptive Detection Mode With Threshold Control as a Function of Spatially Sampled Clutter-level Estimates［J］. RCA Review, 1968, 29(9): 414-464.
    [2]
    Rohling H. Radar CFAR Thresholding in Clutter and Multiple Target Situations［J］. IEEE Trans. on Aerospace and Electronic System, 1983, 19(4): 608-621.
    [3]
    Meng X W, He Y. A New CFAR Detector Dased on Censored Mean and Order Statistics［C］//Proceeding of IEEE International Conference on Neural Networks and Signal Processing, Nanjing, 1995.
    [4]
    Richard J T, Dillard G M. Adaptive Detection Algorithms for Multiple-Target Situations［J］.IEEE Transactions on Aerospace and Electronic Systems.1977, 13(4): 338-343.
    [5]
    郝程鹏,原建平,司昌龙,侯朝焕. 基于有序统计和自动删除平均的恒虚警检测器［J］. 系统工程与电子技术, 2008, 30(1): 17-20.

    Hao C P,Yuan J P, Si C L, Hou C H.CFAR Detector Based on Ordered Statistics and Automatic Censoring Cell Averaging［J］.Systems Engineering and Electronics,2008, 30(1): 17-20.
    [6]
    Farrouki A, Barkat M. Automatic Censoring CFAR Detector Based on Ordered Data Variability for Nonhomogeneous Environments［J］.IEEE Proceedings-Radar, Sonar and Navigation,2005, 152(1): 43-51.
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