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Characterization of low latitude ionospheric scintillations using EEMD - DFA method

机译:利用EEMD-DFA方法表征低纬电离层闪烁。

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摘要

Global Navigation Satellite System (GNSS) receivers are used in various applications like navigation, surveying, mapping, space weather prediction and aircraft landing, which are mostly used to meet various civil and defence requirements. Ionospheric scintillations are one of the dominant propagation impairments at L-band frequencies that affect GNSS signals severely. Amplitude scintillations cause the degradation of GPS signal amplitude and are observed frequently during geomagnetic storms. These scintillations can degrade the GNSS receiver tracking performance and in worst cases, even cause the loss of navigational capabilities. In this paper, ensemble empirical mode decomposition (EEMD) and empirical mode decomposition (EMD) were used as statistical significance models for which detrended fluctuation analysis (DFA) was conducted to determine the threshold for robust denoising performance. Frequency energy distribution was exemplified as a function of time. The key idea of this paper is denoising, in which the intrinsic mode functions (IMF) with noisy oscillations are suppressed and the IMFs with slope values beyond the threshold are considered for reconstruction. Ionospheric data recorded at KL University, Guntur is used for the analysis. It is found that the EEMD - DFA method performs better than existing methods.
机译:全球导航卫星系统(GNSS)接收器用于导航,测量,制图,太空天气预报和飞机降落等各种应用,这些应用主要用于满足各种民用和国防要求。电离层闪烁是严重影响GNSS信号的L频段频率的主要传播障碍之一。幅度闪烁会导致GPS信号幅度下降,并且在地磁风暴期间经常会观察到。这些闪烁会降低GNSS接收机的跟踪性能,在最坏的情况下,甚至会导致导航功能丧失。本文采用综合经验模态分解(EEMD)和经验模态分解(EMD)作为统计显着性模型,对其进行去趋势波动分析(DFA)以确定鲁棒降噪性能的阈值。频率能量分布被示例为时间的函数。本文的主要思想是去噪,其中抑制了具有噪声振荡的本征模式函数(IMF),并考虑了斜率值超过阈值的IMF进行重构。分析使用的是Guntur KL大学记录的电离层数据。发现EEMD-DFA方法的性能优于现有方法。

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