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低掠射角海杂波的统计特性分析 被引量:9

Statistical Analysis of Sea Clutter at Low Grazing Angle
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摘要 大量的研究文献表明,低掠射角雷达海杂波的统计特性可以采用复合高斯模型,即相干长度较短的散斑分量与相干长度较长的纹理分量的乘积,并具有明显的非高斯性、非平稳性和非均匀性。针对X波段,不同的距离分辨率和极化方式的雷达海杂波,首先给出了纹理分量的提取算法,并分析了杂波的平均功率谱,其形状在大多数情况下满足指数模型。然后对杂波的时域和频域的非高斯性进行了分析,分析结果表明,其幅度分布可以采用基于对数正态分布的纹理的广义K分布模型。最后对杂波的统计特性的非平稳性和非均匀性进行了分析。 A lot of literatures indicate that the statistical characteristics of sea clutter at low grazing angle can be modeled as compound Gaussian process, which is the product of speckle with shorter coherent length and texture with longer coherent length, and is non-Gaussian, non-homogeneous, and non-stationary. In this paper, for the X-band radar sea clutter with different range resolutions and polarization, the extraction algorithm of texture is given and power spectrum density of clutter is analyzed at first. The results show that the power spectrum density of clutter can be modeled as exponential model. Secondly, the non-Gaussian of clutter is analyzed in temporal and spatial domains, and the results show that the amplitude probability density function can be fit to the generalized K distribution with log-normal texture. The non-stationarity and nonhomogeneity of sea clutter is analyzed at last.
出处 《雷达科学与技术》 2011年第2期172-179,共8页 Radar Science and Technology
关键词 海杂波 非高斯 非平稳 非均匀 统计特性 sea clutter non-Gaussian non-stationarity non-homogeneity statistical characteristics
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参考文献12

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二级参考文献6

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