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Multifractal Modelling of Aircraft Echoes from Low-resolution Radars Based on Structural Functions

机译:基于结构函数的低分辨率雷达飞机回波的多重分形建模

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摘要

As a kind of complex targets, the nonrigid vibration and attitude change of an aircraft as well as the rotation of its rotating parts will induce complex nonlinear modulation on its echo from low-resolution radars. If one performs the multifractal analysis of measures on an aircraft echo, it may offer a fine description of the dynamic characteristics which induce the echo structure. On basis of introducing multifractal theory based on structural functions, the paper models real recorded aircraft echo data from a low-resolution radar by using the random walk process and the incremental process respectively, and investigates the application of echo multifractal characteristics in aircraft target classification with low-resolution radars. The analysis shows that aircraft echoes from low-resolution radars have clear multifractal characteristics, and one should take an aircraft echo series as a random walk process to perform the multifractal analysis. The experimental results validate the classification method based on multifractal signatures.
机译:作为一种复杂的目标,飞机的非刚性振动和姿态变化以及其旋转部件的旋转将对来自低分辨率雷达的回波产生复杂的非线性调制。如果对飞机回波进行量度的多重分形分析,则可能会对诱发回波结构的动态特性提供详尽的描述。在介绍基于结构函数的多重分形理论的基础上,分别利用随机游走过程和增量过程对低分辨率雷达真实记录的飞机回波数据进行建模,并研究了回波多重分形特征在飞机目标分类中的应用。低分辨率雷达。分析表明,来自低分辨率雷达的飞机回波具有清晰的多重分形特征,应将飞机回波序列作为随机游走过程来进行多重分形分析。实验结果验证了基于多重分形特征的分类方法。

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