A Fast FRFT Based Detection Algorithm of Multiple Moving Targets in Sea Clutter

被引：25

作者：

Chen, Xiaolong ^{[1
]}

Guan, Jian ^{[1
]}

机构：

[1] Navy Aeronaut & Astronaut Univ, Dept Elect & Informat Engn, Yantai 264001, Shandong, Peoples R China

来源：

2010 IEEE RADAR CONFERENCE | 2010年

关键词：

D O I：

10.1109/RADAR.2010.5494587

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：

On the basis of the detection and estimation model of multiple moving targets, a new algorithm based on wavelet packet transform (WPT) and fractional Fourier transform (FRFT) is proposed for weak moving targets detection in sea clutter. The multi-resolution property of WPT and the characteristic of good energy concentration on LFM signals in FRFT domain are combined together. At first, optimal wavelet tree is calculated using "minimum Shannon entropy" and threshold censored method is used to suppress sea clutter of different frequency bands. Then, take the absolute amplitude of signals after FRFT as test statistic and search for peaks in two dimensions with the threshold. Grading iterative method is used for parameter estimation with fast calculation speed and the shading problem between multiple targets is solved through "CLEAN" method. In the end, simulations with IPIX data indicate that the proposed algorithm has good performance of detecting low-observable moving targets in sea clutter.

引用

页码：402 / 406

页数：5

共 8 条

[1] CFAR detection of distributed targets in non-Gaussian disturbance [J].