|
|
|
| Low-Observable Target Detection in Sea Clutter Based on Fractal-based Variable Step-Size LMS Algorithm |
| Liu Ning-bo,Guan Jian,Zhang Jian |
| Department of Electronic and Information Engineering, Navy Aeronautical and Astronautical University, Yantai 264001, China |
|
|
|
|
Abstract 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.
|
|
Received: 08 January 2009
|
|
|
|
Corresponding Authors:
Liu Ning-bo
|
|
|
|
|
|
|
2010, Vol. 32 
