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Volume 28 Issue 1
 
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Article Navigation >  Journal of Unmanned Undersea Systems  > 2020  >  28(1): 018-23
LUO Hai-li, XU Da, CHEN Mo-jiang, HAO Cheng-peng. CFAR Detection of Range-Extended Target in Pareto II Reverberation[J]. Journal of Unmanned Undersea Systems, 2020, 28(1): 018-23. doi: 10.11993/j.issn.2096-3920.2020.01.003
Citation: LUO Hai-li, XU Da, CHEN Mo-jiang, HAO Cheng-peng. CFAR Detection of Range-Extended Target in Pareto II Reverberation[J]. Journal of Unmanned Undersea Systems, 2020, 28(1): 018-23. doi: 10.11993/j.issn.2096-3920.2020.01.003
shu

CFAR Detection of Range-Extended Target in Pareto II Reverberation

doi: 10.11993/j.issn.2096-3920.2020.01.003
  • 1.

    School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

  • 2.

    Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China

  • Received Date: 2019-05-14
  • Rev Recd Date: 2019-07-16
  • Publish Date: 2020-02-29
    Abstract
  • With the improvement of modern sonar range resolution, the number of effective scatters in each space pro-cessing unit is greatly reduced, the reverberation distribution model is no longer subject to the central limit theorem, and the target echo occupies a continuous number of distance units. If the Gaussian reverberation model and the model of point target are still used in this case, the detection performance of the high-resolution sonar system would be greatly reduced. This paper discusses the detection method for the range-extended target in Pareto II reverberation based on geometric mean-constant false alarm rate(GM-CFAR), and analyzes the detection performances of the binary integrator, the fuzzy algebraic product integrator, and the fuzzy algebraic sum integrator through the Monte-Carlo method. Simulation results show that the three integrators can effectively detect range-extended targets in Pareto II reverberation, and the detection performances of these two fuzzy logic integrators are better than that of the binary integrator. In addition, the fuzzy algebraic sum integrator works better under multiple jamming targets background than the other two integrators. This research may provide a reference for improving the detection performance of high resolution sonar.

     

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