Coherent detection based on texture structure in compound-Gaussian clutter

被引：0
|
作者：
Shi S. [1 ]
Shui P. [1 ]
Liu M. [1 ]
机构：
[1] National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an
来源：
Shi, Sainan (snshi@stu.xidian.edu.cn) | 1969年 / Science Press卷 / 38期
基金：
中国国家自然科学基金;
关键词：
Adaptive detection; Compound-Gaussian model; Sea clutter; Texture correlation;
D O I：
10.11999/JEIT151194
中图分类号：
学科分类号：
摘要：
Traditional adaptive detectors are mostly derived under the assumption of independent and identically distributed texture. However, the texture correlation along the range cell exists in real sea clutter datasets. A new coherent detector based on texture structure is proposed by adding the information of texture correlation into the likelihood ratio test. Based on the prior knowledge that the texture correlation along range is generated by the swell modulation, the number of range cells related to the texture of the Cell Under Test (CUT) is determined, and this number provides the information for the texture of CUT. Experimental results using real datasets show that the proposed detector has better performance in comparison with the optimal detector in compound-Gaussian clutter with inverse gamma texture. © 2016, Science Press. All right reserved.
引用
收藏
页码：1969 / 1976
页数：7
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