三轴磁场传感器的低功耗现场AI校准
Low power in-situ AI Calibration of a 3 Axial Magnetic Sensor
摘要：
常规地，通过用便携式标量磁传感器扫描域来执行磁勘测。不幸的是，标量磁力计是昂贵的，功耗和笨重的。在许多应用中，校准的矢量磁力计可用于执行磁力勘测。近年来，基于人工智能（AI）的算法在许多现代应用中取得了最先进的成果。在这项工作中，我们研究了人工智能算法的经典标量校准的磁强计。提出了一种简单、低成本的磁测方法。该方法利用具有AI校准程序的低功耗传感器，该AI校准程序改进了常见的校准方法，并提出了传统技术和算法的替代方案。测量系统的设置经过优化，可在执行磁力测量之前快速部署。我们提出了一种校准方法的基础上旋转的传感器在自然地球磁场的最佳时间段的过程。该技术可以处理常量域偏移和非正交性问题，并且不需要任何外部参考。校准是通过找到一个估计器，产生校准参数，并产生最佳的几何拟合传感器读数。提出了一种综合考虑了测量系统中磁力仪的物理、算法和硬件特性的综合模型。几何椭球拟合方法进行了参数化测试。校准过程将均方根噪声从104 nT的数量级降低到小于10 nT，在自然地球磁场中完整的360度旋转中方差低于1 nT。
英文摘要：
Magnetic surveys are conventionally performed by scanning a domain with a portable scalar magnetic sensor. Unfortunately, scalar magnetometers are expensive, power consuming and bulky. In many applications, calibrated vector magnetometers can be used to perform magnetic surveys. In recent years algorithms based on artificial intelligence (AI) achieve state-of-the-art results in many modern applications. In this work we investigate an AI algorithm for the classical scalar calibration of magnetometers. A simple, low cost method for performing a magnetic survey is presented. The method utilizes a low power consumption sensor with an AI calibration procedure that improves the common calibration methods and suggests an alternative to the conventional technology and algorithms. The setup of the survey system is optimized for quick deployment in-situ right before performing the magnetic survey. We present a calibration method based on a procedure of rotating the sensor in the natural earth magnetic field for an optimal time period. This technique can deal with a constant field offset and non-orthogonality issues and does not require any external reference. The calibration is done by finding an estimator that yields the calibration parameters and produces the best geometric fit to the sensor readings. A comprehensive model considering the physical, algorithmic and hardware properties of the magnetometer of the survey system is presented. The geometric ellipsoid fitting approach is parametrically tested. The calibration procedure reduced the root-mean-squared noise from the order of 104 nT to less than 10 nT with variance lower than 1 nT in a complete 360 degrees rotation in the natural earth magnetic field.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
