Low-observable target detection in sea clutter based on fractal-based variable step-size LMS algorithm

被引：0

作者：

Liu N.-B. ^{[1
]}

Guan J. ^{[1
]}

Zhang J. ^{[1
]}

机构：

[1] Department of Electronic and Information Engineering, Navy Aeronautical and Astronautical University

来源：

Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2010年 / 32卷 / 02期

关键词：

Fractal; Sea clutter; Target detection; Variable step-size LMS;

D O I：

10.3724/SP.J.1146.2009.00017

中图分类号：

学科分类号：

摘要：

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.

引用

页码：371 / 376

页数：5

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