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首页> 外文期刊>Journal of Electromagnetic Waves and Applications >Classification of aircraft targets with low-resolution radars based on multifractal spectrum features
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Classification of aircraft targets with low-resolution radars based on multifractal spectrum features

机译:基于多重分形谱特征的低分辨率雷达对飞机目标的分类

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The multifractal spectrum characteristics of aircraft echoes from low-resolution radars offer a fine description of dynamic characteristics which induce the echo structure; therefore, they can provide a new way for aircraft target classification and recognition with low-resolution radars. On basis of introducing the scattering mechanism of aircraft echoes from low-resolution radars, the paper analyzed the multifractal characteristics of aircraft echoes as well as the extraction method of their multifractal spectrum features by means of the multifractal analysis of measures and proposed the classification method for different types of aircraft targets from the viewpoint of pattern recognition. The classification experiment results with real recorded echo data showed the multifractal spectrum feature-based classification method can classify different types of aircraft targets effectively, so the defined characteristic parameters could be used as effective features for aircraft target classification and recognition.
机译:来自低分辨率雷达的飞机回波的多重分形频谱特性可以很好地描述引起回波结构的动态特性。因此,它们可以为使用低分辨率雷达的飞机目标分类和识别提供一种新方法。在介绍低分辨率雷达回波的散射机制的基础上,通过多分形分析方法,分析了回波的多重分形特征及其多重分形谱特征的提取方法,提出了分类方法。从模式识别的角度来看,不同类型的飞机目标。真实记录回波数据的分类实验结果表明,基于多重分形谱特征的分类方法可以有效地对不同类型的飞机目标进行分类,所定义的特征参数可以作为飞机目标分类和识别的有效特征。

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