Title :
CORDIC-based inclination sensing algorithm using three-axis accelerometer-based inertial sensors
Author :
Liao, Wei-Ting ; Chou, W.-C. ; Lin, Wen-Yen ; Lei, Kin Fong ; Tsai, Wen-Wei ; Lee, Ming-Yih
Author_Institution :
Dept. of Electr. Eng., Chang Gung Univ., Taoyuan, Taiwan
Abstract :
In this paper, we present a low complexity and memory-less algorithm for angle calculations of a system using 3-axis accelerometers. Accelerometers have been widely used to determine the inclination or tilt of a system where the net acceleration or force on a system over time is gravity. However, the angle calculations are complicated and most of the work either implementing with look-up tables or simply transmit the data to systems with more powerful computation resources, such as a PC, to calculate the angles. To reduce the computational complexity and release the memory burden, we propose a 2D CORDIC-based algorithm for the inclination or tilt angle calculations so that it is feasible on a low-cost and low power microcontroller in an embedded system.
Keywords :
accelerometers; embedded systems; inertial systems; microcontrollers; position measurement; signal processing; CORDIC; angle calculation; embedded system; inclination sensing algorithm; inertial sensors; low complexity algorithm; low power microcontroller; memoryless algorithm; three axis accelerometer; Accelerometers; Equations; Gravity; Microcontrollers; Monitoring; Sensors; Vectors; CORDIC; accelerometer; algorithm; inclination sensing;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9351-7
DOI :
10.1109/BMEI.2011.6098459