In this paper, the five-sensor magnetic gradient tensor system is taken as the research object, and the alignment error correction is studied. Firstly, a single sensor error model is established. Secondly, the overall error model is established. Finally, the proposed method is verified by simulation. The simulation results show that the proposed correction method can effectively reduce the alignment error of the system.
Magnetic gradient tensor detection is suitable for geological exploration, target location and many other fields. Among the commonly used magnetic gradient tensors, the third-order magnetic gradient tensor has higher resolution and can obtain more and more magnetic source information. But its stability is poor. It will lead to a large error under the condition of noise. Aiming at the above shortcomings, this paper puts forward an improved method. The approximate calculation formula of the third-order magnetic gradient tensor is analyzed and improved. It can be concluded from the simulation results that the improved method is more stable.
The eight-sensor planar cross magnetic gradient tensor detection system can detect both first-order and second-order magnetic gradient tensors. Compared with the traditional four-sensor and five-sensor planar cross-shaped magnetic gradient tensor system, the measured tensor data is more stable. However, the alignment error correction has not been studied in the eight-sensor planar cross magnetic gradient tensor detection system. Aiming at this problem, alignment error correction is carried out in this paper. The simulation results show that the proposed method can effectively correct the alignment error.
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