Fractal-Based Variable Step-Size Least Mean Square Algorithm for Radar Target Detection in Sea Clutter

被引：0
|
作者：
Liu, Ningbo [1 ]
Che, Zhiyu [1 ]
Guan, Jian [1 ]
Zhang, Jian [1 ]
机构：
[1] NAAU, Elect & Informat Engn Dept, Yantai 264001, Shandong, Peoples R China
来源：
2009 IEEE RADAR CONFERENCE, VOLS 1 AND 2 | 2009年
关键词：
ROUGH SURFACES; SCATTERING;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper introduces fractal-based variable step-size least mean square(FB-VSLMS) algorithm and proposes a model for radar target detection in sea clutter. FB-VSLMS algorithm deals with a specific class of fractal signals and except one of the step-size parameters requiring time-varying constraints, the constraints on the remaining parameters are time-invariant. And the step-size matrix is determined completely with the knowledge of the deterministic Hurst exponent. The model based on this algorithm is suited for tracking signals from the family of fractal signals that are inherently nonstationary. In the end, the performance of the novel model is analyzed. By the verification of X-band real sea clutter, the model is shown to be effective for point target detection in sea clutter.
引用
收藏
页码：1077 / 1081
页数：5
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