基于复合高斯杂波纹理结构的相干检测

施赛楠; 水鹏朗; 刘明

doi:10.11999/JEIT151194

基于复合高斯杂波纹理结构的相干检测

doi: 10.11999/JEIT151194

基金项目:

国家自然科学基金(61201296)

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- 被引次数: 0
出版历程
- 收稿日期: 2015-10-29
- 修回日期: 2016-02-17
- 刊出日期: 2016-08-19

Coherent Detection Based on Texture Structure in Compound-Gaussian Clutter

Funds:

The National Natural Science Foundation of China (61201296)

摘要

摘要: 传统的自适应检测器大多是在独立同分布纹理的前提下推导出的。然而，实测海杂波数据中各个距离单元的纹理具有相关性。该文将这一纹理相关性的信息加入到似然比检测中，提出一种基于纹理结构的相干检测器。基于涌浪调制在距离上产生纹理相关性的先验知识，确定与待检测单元纹理相关的距离单元数目，据此可以提供待测单元的纹理信息。实测数据实验表明，该检测器相对于逆伽马纹理复合高斯杂波下最优检测器具有一定的性能提升。
- 海杂波 /
- 复合高斯模型 /
- 纹理相关性 /
- 自适应检测
Abstract: 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.
- Sea clutter /
- Compound-Gaussian model /
- Texture correlation /
- Adaptive detection

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参考文献(21)

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