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中文摘要：
非高斯相关杂波背景下的目标检测具有重要的实际意义，但在该背景下建立似然比检测模型非常困难。以SG-Alpha（subGaussian-Alpha）稳定分布作为非高斯相关杂波分布模型，导出了雷达目标的Rao检测模型。该模型适应于一般非高斯相关杂波下的目标检测，且易于实现。仿真及实测数据验证表明，在非高斯相关杂波条件下本文提出的方法明显优于传统的检测方法。
英文摘要：
In relative non-Gaussian clutter backgrounds, one of the difficulties on radar target detection is to establish a likelihood ratio test model. Based on the SG-Alpha（subGaussian-Alpha）stable distribution model, a Rao statistical test method on radar targets is established. This method is applicable to detect moving targets in normal relative non-Gaussian clutter, and it can be implemented easily. Simulations and real data results show that the novel method is obviously superior to traditional methods in relative non-Gaussian clutter.
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