Paper Info
Title
Precision Enhancement and Performance Evaluation of a CORDIC-Based Tilting Angle Identification Algorithm for Three-Axis Accelerometers
Abstract
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.
Year
DOI
Venue
2013
10.1109/ISBAST.2013.33
ISBAST
Keywords
Field
DocType
microcontrollers,low computation complexity,high-end desktop cpu,precise tilting angle,inclination sensing,computerised instrumentation,tilting angles,medical care systems,tilting angle,tilting angle identification algorithm,memory requirements,accelerometer,different platform,processor cores,2d-cordic operations,3-axis accelerometer,three-axis accelerometers,cordic-based tilting angle identification,precision enhancement,digital arithmetic,computational complexity,tilting angle computations,algorithm,computation complexity,low-end microcontrollers,low memory requirement,embedded system,low power micro-controllers,in-line tilting angle computation,accelerometers,performance evaluation,2d cordic,calculated angle,embedded systems,low cost,cordic-based tilting angle identification algorithm,real time systems,algorithm design and analysis,gravity,mathematical model,vectors
Computer science,Accelerometer,Algorithm,Ranging,CORDIC,Microcontroller,Multi-core processor,Computation complexity,Computational complexity theory,Computation
Conference
ISBN
Citations 
PageRank 
978-0-7695-5010-7
3
0.48
References 
Authors
6
5
Name
Order
Citations
PageRank
Wei-Ting Liao1222.22
Wen-Yen Lin25811.47
Wen-Cheng Cheng330.48
Kin-fong Lei43410.76
Ming-Yih Lee55614.49