A zero velocity detection algorithm using inertial sensors for pedestrian navigation systems.

A zero velocity detection algorithm using inertial sensors for pedestrian navigation systems.
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DOI:
10.3390/s101009163
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发表时间:
2010
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
通讯作者:
Suh YS
Suh YS
中科院分区:
其他
文献类型:
--
作者:
Park SK;Suh YS

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在行人导航系统中,使用惯性导航算法来计算行人的位置。在该算法中,零速度更新起着重要的作用,其中零速度间隔检测和速度误差被重置。为了使用零速度更新,必须可靠地检测零速度间隔。本文提出了一种新的零检测算法,该算法只使用一个陀螺值。该方法通过对陀螺输出信号的分段来建立马尔可夫模型,而不是直接利用陀螺输出信号,从而提高了零速检测的可靠性。
In pedestrian navigation systems, the position of a pedestrian is computed using an inertial navigation algorithm. In the algorithm, the zero velocity updating plays an important role, where zero velocity intervals are detected and the velocity error is reset. To use the zero velocity updating, it is necessary to detect zero velocity intervals reliably. A new zero detection algorithm is proposed in the paper, where only one gyroscope value is used. A Markov model is constructed using segmentation of gyroscope outputs instead of using gyroscope outputs directly, which makes the zero velocity detection more reliable.
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