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Volume 32 Issue 2
Aug.  2010
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Liu Ning-bo, Guan Jian, Zhang Jian. Low-Observable Target Detection in Sea Clutter Based on Fractal-based Variable Step-Size LMS Algorithm[J]. Journal of Electronics & Information Technology, 2010, 32(2): 371-376. doi: 10.3724/SP.J.1146.2009.00017
Citation: Liu Ning-bo, Guan Jian, Zhang Jian. Low-Observable Target Detection in Sea Clutter Based on Fractal-based Variable Step-Size LMS Algorithm[J]. Journal of Electronics & Information Technology, 2010, 32(2): 371-376. doi: 10.3724/SP.J.1146.2009.00017

Low-Observable Target Detection in Sea Clutter Based on Fractal-based Variable Step-Size LMS Algorithm

doi: 10.3724/SP.J.1146.2009.00017
  • Received Date: 2009-01-08
  • Rev Recd Date: 2009-11-03
  • Publish Date: 2010-02-19
  • This paper mainly studies the application of the combination of Hurst exponent and variable step-size LMS algorithm in low-observable target detection in sea clutter. Up to now, fractal theory and statistic theory are applied to target detection respectively. In this paper, the fractal-based variable step-size Least Mean Square (LMS) algorithm is introduced and a novel low-observable target detection model is proposed based on the algorithm. And the combination of LMS algorithm and single fractal characteristic in target detection is elementarily realized. Finally, X-band real sea clutter is used for verification and the results indicate that the proposed model has a good performance of detecting low-observable target in sea clutter.
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