基于8位微控制器的IMU测量移动平均滤波器分析

Alessio Ghio, Sebastián Escalante, Jimmy Tarrillo
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引用次数: 1

摘要

噪声是数据采集中最大的挑战之一,并且总是存在于任何传感器,特别是惯性测量单元(imu)的每次测量中。因此,有两种方法来解决这个问题:模拟滤波或数字滤波。第二种方法通常是最常用的,因为处理器执行的数学运算可以达到很高的精度。然而,根据不同的应用,最少的能量消耗、时间响应或使用的资源是理想的。因此,本文介绍了在8位AVR架构微控制器上对众所周知的移动平均数字滤波器的分析,因为它是一个有趣的选择,因为它的资源有限,并且最有可能消耗更少的能量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Moving Average Filter for IMU Measurements on an 8-bit Microcontroller
Noise is one of the biggest challenges in data acquisition and will be always present on every measurement made by any sensor, specially by Inertial Measurement Units (IMUs). Due to that, there are two approaches to solve this problem: analog or digital filtering. This second approach is usually the most taken, since very good precision can be achieved with mathematical operations performed by processors. However, depending on the application, the least energy consumption, time response or resources used are desirable. So, this paper presents the analysis of the well known Moving Average digital filter on an 8-bit AVR architecture microcontroller, because it is an interesting option as a result of its limited resources and its most likely probability of consuming less energy.
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