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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GPS /伪岩技术在我的复杂现场条件下

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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:为了增加矿区地区复杂环境中GPS视觉卫星的数量条件,GPS和伪岩(PLS)定位技术将集成在本文中。 GPS /伪岩(PLS)定位技术的集成可以应用于增加可见卫星的数量,增强卫星几何状况的强度,并提供了矿井精度测量的有效解决方案。然而,未建模的系统错误仍然是高精度基线解决方案的主要限制因素。提出了经验模式分解(EMD)-WaveLet模型来分析非线性时间序列。 EMD将时间序列分解为高频和低频部件,并在累积标准化模式的平均值上的系统误差消除的规模选择标准,以及高频部件的趋势是由小波提取。然后基于EMD理论重建低频部分和高频的趋势,并且还证明了系统误差缓解模型。此后,提出了基于EMD-小波的GPS / PLS基线溶液的方案。实验表明,该方案显着提高了歧义分辨率的可靠性和系统误差消除后基线向量的精度。

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