其次，在研究杂波统计模型得到的结论的指导下，系统研究了恒虚警率（CFAR）目标检测算法。
Secondly, we systematically study the CFAR target detection algorithm with the guide of the conclusion gained from the research of the clutter statistical models.
工作于海洋环境下的雷达面临较严重的海杂波的影响，海杂波统计模型的研究对最优检测算法设计和雷达性能预估有重要作用。
Sea clutter impacts seriously on the effect and efficiency of maritime surveillance radars. The research on sea model will benefit optimum detection algorithm design and performance prediction.
论文的主要工作包括：首先，作为全文研究的理论基础，深入分析了SAR图像杂波的统计模型。
The major contents in this paper include: Firstly, as the theory foundation, the SAR clutter statistical model is studied in depth.
鉴于目前最常用的K分布模型对各种海态下特别是低海态海杂波的统计特性拟合程度不高，提出了改进K分布模型。
In view of the lower fitting degree of commonly used K-distribution model for various sea, especially for low sea state cluster, an improved K-distribution model was proposed.
分析了地杂波统计特性，研究了相关雷达杂波功率谱特性的AR模型及其模拟方法。
We analyse statistics properties of ground clutters and study AR model of correlated clutters power spectral density.
基于海杂波的复合散射理论，分析了海杂波的统计分布模型、时间相关性和空间相关性。
Based on theory of compound scatter, the amplitude distribution, temporal correlation and spatial correlation were discussed here.
另外，本文采用均匀-泊松统计模型描述来自杂波的虚假量测，由杂波模型及量测模型共同构成了完整的OTHR多路径模型。
Besides, the uniform-Poisson statistic model is used to describe clutter, which together with OTHR measurement model make up of the integrated OTHR multipath model.
另外，本文采用均匀-泊松统计模型描述来自杂波的虚假量测，由杂波模型及量测模型共同构成了完整的OTHR多路径模型。
Besides, the uniform-Poisson statistic model is used to describe clutter, which together with OTHR measurement model make up of the integrated OTHR multipath model.
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