基于互补滤波的GPS和计步器数据融合的跑步速度估计

2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR) Pub Date : 2017-08-01 DOI:10.1109/MMAR.2017.8046828

K. Skrzypczyk

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摘要

本文介绍了互补滤波在利用GPS和计步器数据估计跑步速度中的应用。该方法将两个信息源与动态调整的重要因子相融合。在GPS信号差的情况下，计步器数据由滤波器获得，否则。通过多次仿真验证了该方法的有效性。本文给出了一个典型的例子，并进行了讨论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Running pace estimation using complementary filter based fusion of GPS and pedometer data

This paper presents an application of complementary filtration for estimating running pace using GPS and pedometer data. In the approach presented two information sources are fused with dynamically adjusted importance factors. In the case of poor GPS signal the pedometer data are gained by the filter, and otherwise. The method proposed was verified using multiple simulations. An exemplary one is presented and discussed in the paper.

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2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR)

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