This paper focuses on the adaptive detection of range and Doppler dual-spread targets in non-homogeneous and non-Gaussian sea clutter. The sea clutter from two polarimetric channels is modeled as a compound-Gaussian model with different parameters, and the target is modeled as a subspace range-spread target model. The persymmetric structure is used to model the clutter covariance matrix, in order to reduce the reliance on secondary data of the designed detectors. Three adaptive polarimetric persymmetric detectors are designed based on the generalized likelihood ratio test (GLRT), Rao test, and Wald test. All the proposed detectors have constant false-alarm rate property with respect to the clutter texture, the speckle covariance matrix. Experimental results on simulated and measured data show that three adaptive detectors outperform the competitors in different clutter environments, and the proposed GLRT detector has the best detection performance under different parameters.

中文翻译：

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复合高斯海杂波中子空间距离扩展目标的非对称自适应偏振检测

本文重点研究非均匀、非高斯海杂波中距离和多普勒双扩散目标的自适应检测。来自两个极化通道的海杂波被建模为具有不同参数的复合高斯模型，并且目标被建模为子空间距离扩展目标模型。采用非对称结构对杂波协方差矩阵进行建模，以减少对所设计探测器的二次数据的依赖。基于广义似然比检验（GLRT）、Rao检验和Wald检验设计了三种自适应极化非对称检测器。所有提出的探测器对于杂波纹理、散斑协方差矩阵都具有恒定的误报率特性。模拟和测量数据的实验结果表明，三种自适应检测器在不同的杂波环境下优于竞争对手，并且所提出的GLRT检测器在不同参数下具有最佳的检测性能。