Title :
Power aware attitude computation during rapid rotational motion
Author :
Arrigo, Jeanette F. ; Chau, Paul M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California, La Jolla, CA, USA
Abstract :
A technique for increasing the accuracy of attitude update calculations when data sample rates are low is described. The technique is based on the use of a fixed-point coordinate rotation digital computer (CORDIC) function. In addition to improved accuracy, power consumption is reduced at lower data rates. The technique is also useful for maintaining computational accuracy during high angular rate inputs. The result of an experiment employing microelectromechanical system (MEMS) gyroscopes and comparing the CORDIC-based method with Taylor series approximations is described. In the experiment, a second-order Taylor´s series approximation resulted in computed errors in the Euler angle of greater than 5° and 15° at respective sample rates of 60 and 30 samples/s, while the CORDIC-based method was accurate to within 2 arcseconds. Power consumption estimates are provided for several input data rates for CORDIC-based field-programmable gate array (FPGA) and application-specific integrated circuit (ASIC) implementations.
Keywords :
application specific integrated circuits; attitude measurement; field programmable gate arrays; fixed point arithmetic; micromechanical devices; rotation; CORDIC function; CORDIC-based field-programmable gate array; Taylor series approximation; application-specific integrated circuits; attitude update calculations; computational accuracy; fixed-point coordinate rotation digital computer function; microelectromechanical system; power aware attitude computation; rapid rotational motion; Application specific integrated circuits; Energy consumption; Field programmable gate arrays; Gyroscopes; Kinematics; Microelectromechanical systems; Micromechanical devices; Quaternions; Sensor systems; Virtual reality; Attitude determination; CORDIC; gyroscopes; kinematic equation; motion capture; power aware computing; quaternions; virtual reality;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2005.861245