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GPS/Pseudolites technology based on EMD-wavelet in the complex field conditions of mine

机译:基于EMD小波的矿山复杂野外GPS /伪卫星技术

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To increase the number and improve the geometric condition of visual satellites of GPS in complex environment of mine areas, GPS and pseudolite (PLs) positioning technologies will be integrated in this paper. Integration of GPS/Pseudolites(PLs) positioning technology can be applied to increase the number of visible satellites, strengthen the intensity of the geometry condition of the satellites, and provide an effective solution for precision measurement in the mine. However, the un-modeled systematic errors are still the main restrictive factors for high precision baseline solution. The Empirical Mode Decomposition (EMD)-Wavelet model was proposed for analysing non-linear time series. The EMD decomposes the time series to high-frequency and low-frequency part with the standards of the scale selection for the systematic errors elimination which is given in terms of the mean of the accumulated standardized modes, and the tendency of high-frequency part is extracted by Wavelet. Then low-frequency part and the tendency of high-frequency are reconstructed based on EMD theory and the systematic errors mitigation model is demonstrated as well. Thereafter, the scheme of the GPS/PLs baseline solution based on the EMD-Wavelet is suggested. The experiment shows that the proposed scheme dramatically improves the reliability of ambiguity resolution and the precision of baseline vector after systematic error eliminated.
机译:为了增加矿区复杂环境中GPS可视卫星的数量并改善其几何条件,本文将集成GPS和伪卫星(PLs)定位技术。 GPS /伪卫星(PLs)定位技术的集成可用于增加可见卫星的数量,增强卫星几何条件的强度,并为矿山中的精确测量提供有效的解决方案。但是,未建模的系统误差仍然是高精度基线解决方案的主要限制因素。提出了经验模态分解(EMD)-小波模型,用于分析非线性时间序列。 EMD将时间序列分解为高频和低频部分,并根据累加标准化模式的平均值给出了用于消除系统误差的标度选择标准,并且高频部分的趋势是小波提取。然后基于EMD理论重构了低频部分和高频趋势,并建立了系统误差减轻模型。此后,提出了基于EMD小波的GPS / PLs基线解的方案。实验表明,在消除系统误差后,该方案显着提高了模糊度解析的可靠性和基线向量的精度。

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