UWBSAR叶簇隐蔽目标差值变化检测中杂波分布建模分析与应用

Analysis and application of clutter distribution modeling in UWB SAR difference change detection of target in foliage

由于树林观测区域后向散射强度具有快变特性,现有方法无法对UWB SAR叶簇隐蔽目标差值变化检测的杂波分布进行准确建模分析。为此,首先推导分析了均匀观测场景差值变化检测的杂波分布模型,而后假设观测场景后向散射强度服从伽马分布,在此基础上进一步推导了一种快起伏场景差值变化检测杂波分布模型。实验应用结果表明,该分布模型可对树林区域差值变化检测的杂波分布进行准确建模分析,从而提高变化检测性能。

In forest area, the intensity backscatter varies quickly. In UWB SAR foliage-concealed target difference change detection, this characteristic had made existing clutter models couldn＇t fit the clutter distribution accurately. To address the problem, the clutter model suitable for uniform scene was derived. After that, by assuming the intensity of forest area backscatter follows Gamma distribution, the clutter model suitable for serious non-stationary scene was estab- lished. And the experimental results showed that, in foliage-concealed target difference change detection, the proposed model could fit the clutter distribution more accurately, and an improved detection performance could be achieved.