GNSS Differential Positioning by Robust Estimation
GNSS Differential Positioning by Robust Estimation
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DOI：
10.1061/(asce)0733-9453(2008)134:1(21
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发表时间：
2008-02
期刊：
影响因子：
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通讯作者：
S. Baselga;L. García-Asenjo
中科院分区：
文献类型：
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作者：
S. Baselga;L. García-Asenjo
在存在不良误差的情况下，强大的估计比最小二乘估计得出更准确的结果。它最近以迭代重新加权最小二乘的标准方式应用于GNSS差分定位的过程。我们提出了对技术的改进，基于先前的结果，只有在被认为是全球优化问题的情况下，稳健估计才真正健壮。通过全球优化技术进行的强大估计将被证明是一种更强大的方法，能够求解有问题的基准，这些基准可以通过经典方法来解决。
Robust estimation yields more accurate results than least-squares estimation in the presence of undesirable errors. It has been recently applied to the process of GNSS differential positioning in the standard fashion of iteratively reweighted least squares. We propose an improvement of the technique, based on a previous result by which robust estimation is truly robust only if considered as a global optimization problem. Robust estimation by global optimization techniques will prove to be an even more powerful method, capable of solving problematic baselines that are nonsolvable by classic methods.