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Precision Enhancement and Performance Evaluation of a CORDIC-Based Tilting Angle Identification Algorithm for Three-Axis Accelerometers

机译:基于CORDIC的三轴加速度计倾斜角识别算法的精度增强和性能评估

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摘要

In this paper, we analyze the precision of the tilting angles transferred from a 3-axis accelerometer with the previously proposed CORDIC-based tilting angle identification algorithm. We found out two issues of the original 2D-CORDIC operations which would increase the errors of the calculated angles. Hence, we propose the solutions to further enhance the precision of tilting angles calculated in the algorithm. We also evaluate the performance of our algorithm on 5 different platforms with different processor cores ranging from low-end micro-controllers to high-end desktop CPU. The results indicate that the algorithm is extremely suitable for implementation on low cost and low power micro-controllers to perform the real-time and in-line tilting angle computations for its low computation complexity and low memory requirements. As the results, precise tilting angles can be obtained in real-time with a low cost embedded system to be applied in various applications including medical care systems.
机译:在本文中,我们使用先前提出的基于CORDIC的倾斜角识别算法来分析从三轴加速度计传递来的倾斜角的精度。我们发现了原始2D-CORDIC操作的两个问题,这会增加计算角度的误差。因此,我们提出了进一步提高算法中计算的倾角精度的解决方案。我们还评估了我们算法在5种不同平台上的性能,这些平台具有从低端微控制器到高端台式机CPU的不同处理器内核。结果表明,该算法具有运算量少,存储量少等优点,非常适合在低成本,低功耗的微控制器上进行实时和在线倾斜角计算。结果,利用低成本嵌入式系统可以实时获得精确的倾斜角度,该低成本嵌入式系统可应用于包括医疗保健系统在内的各种应用中。

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