An Improved Geomagnetic Navigation Method Based on Two-Component Gradient Weighting
Zhuo Chen, Zhongyan Liu, Qi Zhang, Dixiang Chen, Mengchun Pan, Jiafei Hu, Yujing Xu, Ze Wang 等 9 位
National University of Defense Technology
内容与影响
During the geomagnetic vector navigation, there are three attitude angles required for coordinate transformation in the process of geomagnetic vector elements’ calculation. However, the yaw angle provided by inertial navigation system (INS) has accumulated error which is inevitable and will seriously reduce navigation accuracy. An improved geomagnetic navigation method based on two-component gradient weighting (TCGW) is proposed in this paper. The horizontal and vertical geomagnetic components can be calculated with roll angle and pitch angle based on the implicit trigonometric theorem in the process of coordinate transformation. And the gradient weights are used as the coefficients to improve the accuracy and universality. The simulations based on four typical types have been performed, and the Monte Carlo simulation results indicated that the proposed method has higher matching accuracy than traditional vector ICCP (VICCP) method. Furthermore, the airborne navigation experiments have been carried out to verify the accuracy and effectiveness of the proposed method.
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工程Inertial Sensor and Navigation
Target Tracking and Data Fusion in Sensor Networks · Robotics and Sensor-Based Localization
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