Geometric Predicted Unscented Kalman Filtering in Rotate Magnetic Ranging

作者：Zhang Chao^*; Pang Keke; Zhang Yaxin

来源：IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, 2013, E96A(6): 1501-1504.

DOI：10.1587/transfun.E96.A.1501

• rotate magnetic field
• Kalman filtering
• ranging

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.

• 出版日期2013-6
• 单位清华大学