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A Fuzzy Inference System for Lightning Location

机译:雷电定位的模糊推理系统

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Several techniques aimed to perform lightning location has been proposed on literature, most of them are based on using the time difference of arrival (TDOA) of electric signals to a set of sensors. These techniques often perform simplifications to the location problem, in order to deal with its complexity. This paper shows an approach based on the Takagi-Sugeno's fuzzy inference system [4], which can be trained for the sake to adapt it to the terrain conditions of the location system. The simulations show promising results, related both with the error of the location software as with its performance.
机译:在文献中已经提出了几种旨在执行闪电定位的技术,其中大多数基于使用电信号到达一组传感器的到达时间差(TDOA)。这些技术通常会简化位置问题,以应对其复杂性。本文展示了一种基于Takagi-Sugeno模糊推理系统的方法[4],可以对其进行训练以使其适应定位系统的地形条件。仿真显示了令人鼓舞的结果,这与定位软件的错误及其性能有关。

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