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Research on Integrated Navigation Technology of the Pedestrian Navigation System Based on MIMU/ Magnetometer

机译:基于MIMU /磁力计的行人导航系统组合导航技术研究

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This paper investigates how to obtain a pedestrian's position, velocity and heading from a self-contained equipment when the Global Positioning System (GPS) can't provide accurate and continuous positioning information. We use the MEMS (micro electronical mechanical system) sensors (including GPS receiver, MEMS-gyroscope, MEMS-accelerometer, MEMS-magnetometer, MEMS-barometer) to establish the system. The MEMS sensors will be fixed on a shoe of a pedestrian, we call this navigation shoe. A positioning method is proposed which makes full use of the features that the inertial sensors are less vulnerable to external factors and can be used in an enclosed space conditions. Since the 3-axes magnetometers is unstable enough to various errors, such as hard and soft iron effects, oscillation of the pedestrian's body when walking, we develop an enhanced sensor fusion technique utilizing the Earth's magnetic field for heading estimation even in the perturbed magnetic field environments.Then we use this heading information and zero velocity as mearsurements of error-state Kalman filter to eliminate the state error. The capabilities of our approach and system are demonstrated using post-processed data obtained in experiment.
机译:本文研究了当全球定位系统(GPS)无法提供准确且连续的定位信息时,如何从独立的设备中获取行人的位置,速度和航向。我们使用MEMS(微电子机械系统)传感器(包括GPS接收器,MEMS陀螺仪,MEMS加速度计,MEMS磁力计,MEMS气压计)来建立系统。 MEMS传感器将固定在行人的鞋子上,我们称之为导航鞋。提出了一种定位方法,该方法充分利用了惯性传感器不易受外部因素影响的特征,并且可以在封闭的空间条件下使用。由于三轴磁力计对于各种误差(例如,硬铁和软铁效应,行人在行走时的振动)足够不稳定,因此,我们开发了一种增强的传感器融合技术,利用地球磁场即使在受干扰的磁场中也可以进行航向估计然后,我们使用此航向信息和零速度作为误差状态卡尔曼滤波器的度量,以消除状态误差。我们使用实验中获得的后处理数据演示了我们的方法和系统的功能。

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