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首页> 外文期刊>IEICE Transactions on fundamentals of electronics, communications & computer sciences >Geometric Predicted Unscented Kalman Filtering in Rotate Magnetic Ranging
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Geometric Predicted Unscented Kalman Filtering in Rotate Magnetic Ranging

机译:旋转电磁测距中的几何预测无味卡尔曼滤波

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Rotate magnetic field can be used for ranging, especially the environment where electronic filed suffers a deep fading and attenuation, such as drilling underground. However, magnetic field is still affected by the ferromagnetic materials, e.g., oil casing pipe. The measurement error is not endurable for single measurement. In this paper, the Geometric Predicted Unscented Kalman Filtering (GP-UKF) algorithm is developed for rotate magnetic ranging system underground. With GP-UKF, the Root Mean Square Error (RMSE) can be suppressed. It is really important in a long range detection by magnetic field, i.e., more than 50 meters.
机译:旋转磁场可用于测距,尤其是电子领域遭受深度衰减和衰减的环境,例如在地下钻孔。但是,磁场仍受铁磁性材料(例如油套管)的影响。单次测量无法承受测量误差。本文针对地下旋转磁测距系统,开发了几何预测无味卡尔曼滤波(GP-UKF)算法。使用GP-UKF,可以抑制均方根误差(RMSE)。在通过磁场(即50米以上)进行远距离检测时,这确实很重要。

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