增强的GPS定位噪声模型

2015 6th International Conference on Automation, Robotics and Applications (ICARA) Pub Date : 2015-04-09 DOI:10.1109/ICARA.2015.7081121

Andrew W. R. Soundy, Bradley J. Panckhurst, T. Molteno

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引用次数: 7

摘要

我们分析了GPS位置记录，并证明它们具有长期的自相关功能。因此，假设高斯不确定性的传统方法存在潜在的问题。我们提出了一些替代噪声模型，如Ornstein-Uhlenbeck过程或自回归过程，可用于状态估计。

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Enhanced noise models for GPS positioning

We analyze GPS position recordings, and show that they have long term autocorrelation functions. The traditional approach of assuming Gaussian uncertainties is therefore potentially problematic. We suggest some alternative noise models such as the Ornstein-Uhlenbeck process or autoregressive process, that can be used for state estimation.

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2015 6th International Conference on Automation, Robotics and Applications (ICARA)

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