Analysis of sea clutter radar data

A. Farina, F. Gini, M. Greco, L. Verrazzani
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引用次数: 10

Abstract

We perform a detailed analysis of experimental data, collected at Osborne Gunnery Range with MacMaster University IPIX radar, to test the theoretical models developed in the literature. A comparison of the amplitude histograms with the K and lognormal distribution shows that VV data exhibit a K behaviour, while HH data are better fitted by a lognormal model and cross-polarised data by a K plus thermal noise model. The results have been confirmed by comparing the first four moments and through a modified version of the Kolmogoroff-Smirnoff test. The validity of the compound model, that identifies two components of clutter fluctuations, has been proved for the VV polarisation. The texture component, deriving from the spatially varying mean level has been isolated, since the speckle component was decorrelated by the frequency agility. These results are of great importance for design of optimum target detection schemes.
海杂波雷达数据分析
我们对使用麦克马斯特大学IPIX雷达在奥斯本射击场收集的实验数据进行了详细分析,以测试文献中开发的理论模型。振幅直方图与K和对数正态分布的比较表明,VV数据表现出K行为,而HH数据更适合对数正态模型,而交叉极化数据则适合K加热噪声模型。通过比较前四个矩和修改版的Kolmogoroff-Smirnoff测试,结果得到了证实。该复合模型识别了杂波波动的两个分量,并证明了该模型对VV偏振的有效性。由于散斑分量被频率敏捷性去相关,从空间变化的平均水平得到的纹理分量被隔离。这些结果对优化目标检测方案的设计具有重要的指导意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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