Author_Institution :
Res. Inst. of Electron. Sci. & Technol., UESTC, Chengdu, China
Abstract :
With the development of information technology, the accelerometer has been applied widely, such as navigation, target tracking, medical, consumer electronics. The signal, collected by accelerometer, is usually affected by the noisy signal. Before processing, the signal needs to be filtered. This article describes several filtering algorithm, commonly used in the acceleration data processing. Then, the data, which is collected by ADXL345 sensor, is filtered by different filtering algorithm for comparing. Last, the analysis and the compare show the different filter effort in different algorithms.
Keywords :
accelerometers; filtering theory; information technology; ADXL345 sensor; acceleration data processing; acceleration signal filtering algorithm; accelerometer; information technology; noisy signal; Algorithm design and analysis; Digital filters; Filtering algorithms; Kalman filters; Noise; Smoothing methods;