Fractal detector design and application in maritime target detection

被引:2
作者
Shen, Xinglin [1 ]
Song, Zhiyong [1 ]
Zhu, Yongfeng [1 ]
Fu, Qiang [2 ]
机构
[1] Natl Univ Def Technol, Coll Elect Sci & Engn, ATR Key Lab, Changsha 410073, Hunan, Peoples R China
[2] Natl Univ Def Technol, ATR Key Lab, Changsha 410073, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
comparative signal-to-clutter ratio; fractal; Hurst exponent; sea clutter; target detection; RADAR SEA-CLUTTER; DIMENSION;
D O I
10.21629/JSEE.2017.01.04
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The fractal properties of sea clutter are proposed and applied to the maritime target detection. Calculation of the measured data shows that, the Hurst exponent of the sea clutter with targets and the sea clutter without targets are different, which enables us to detect low-observable targets within the sea clutter. This paper explains the reason why the Hurst exponent can distinguish the presence or absence of targets in theory and proposes a fractal detector based on the Hurst exponent. Comparing the fractal detector proposed in this paper to the energy detector by the detection results of 140 frames data of the real sea clutter, it is demonstrated that the fractal detection method has a better detection performance. In order to get systemic conclusions, the new sea clutter data with different signal-to-clutter ratios (SCRs) are constructed in the way that add the sea clutter data with targets to the pure sea clutter data. The results show that the fractal detection method has a better performance than the statistical method on detection of maritime targets, especially maritime weak targets with low SCR.
引用
收藏
页码:27 / 35
页数:9
相关论文
共 22 条
[1]  
Bakker R., 2001, DARMOUTH DATABASE
[2]   RADAR SEA-CLUTTER AT LOW GRAZING ANGLES [J].
CHAN, HC .
IEE PROCEEDINGS-F RADAR AND SIGNAL PROCESSING, 1990, 137 (02) :102-112
[3]   Detection of low observable moving target in sea clutter via fractal characteristics in fractional Fourier transform domain [J].
Chen, Xiaolong ;
Guan, Jian ;
He, You ;
Zhang, Jian .
IET RADAR SONAR AND NAVIGATION, 2013, 7 (06) :635-651
[4]   Using fractal dimension to target detection in bistatic SAR data [J].
Cherouat, Soumeya ;
Soltani, Faouzi ;
Schmitt, Francoise ;
Daout, Franck .
SIGNAL IMAGE AND VIDEO PROCESSING, 2015, 9 (02) :365-371
[5]  
Falconer K., 2003, FRACTAL GEOMETRY MAT, DOI DOI 10.1002/0470013850
[6]   Weak target detection in sea clutter background using local-multifractal spectrum with adaptive window length [J].
Fan, Yifei ;
Luo, Feng ;
Li, Ming ;
Hu, Chong ;
Chen, Shuailin .
IET RADAR SONAR AND NAVIGATION, 2015, 9 (07) :835-842
[7]   Detection of sea-surface radar targets based on multifractal analysis [J].
Gan, D ;
Shouhong, Z .
ELECTRONICS LETTERS, 2000, 36 (13) :1144-1145
[8]   Fractal characteristic in frequency domain for target detection within sea clutter [J].
Guan, J. ;
Liu, N. -B. ;
Huang, Y. ;
He, Y. .
IET RADAR SONAR AND NAVIGATION, 2012, 6 (05) :293-306
[9]   Multifractal correlation characteristic for radar detecting low-observable target in sea clutter [J].
Guan, Jian ;
Liu, Ningbo ;
Zhang, Jian ;
Song, Jie .
SIGNAL PROCESSING, 2010, 90 (02) :523-535
[10]   Detection of low observable targets within sea clutter by structure function based multifractal analysis [J].
Hu, J ;
Tung, WW ;
Gao, J .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2006, 54 (01) :136-143