Sensors 2011, 11(6), 5931-5951; doi:10.3390/s110605931
Article

Drift-Free Position Estimation of Periodic or Quasi-Periodic Motion Using Inertial Sensors

1 Hamlyn Centre for Robotic Surgery, and Department of Computing, Imperial College London, South Kensington Campus, London SW7 2AZ, UK 2 School of Electronics Engineering, College of IT Engineering, Kyungpook National University, Daegu 702-701, Korea 3 School of Mechanical and Aerospace Engineering, Nanyang Technological University, 639798, Singapore
* Author to whom correspondence should be addressed.
Received: 25 April 2011; in revised form: 16 May 2011 / Accepted: 24 May 2011 / Published: 31 May 2011
(This article belongs to the Section Physical Sensors)
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Abstract: Position sensing with inertial sensors such as accelerometers and gyroscopes usually requires other aided sensors or prior knowledge of motion characteristics to remove position drift resulting from integration of acceleration or velocity so as to obtain accurate position estimation. A method based on analytical integration has previously been developed to obtain accurate position estimate of periodic or quasi-periodic motion from inertial sensors using prior knowledge of the motion but without using aided sensors. In this paper, a new method is proposed which employs linear filtering stage coupled with adaptive filtering stage to remove drift and attenuation. The prior knowledge of the motion the proposed method requires is only approximate band of frequencies of the motion. Existing adaptive filtering methods based on Fourier series such as weighted-frequency Fourier linear combiner (WFLC), and band-limited multiple Fourier linear combiner (BMFLC) are modified to combine with the proposed method. To validate and compare the performance of the proposed method with the method based on analytical integration, simulation study is performed using periodic signals as well as real physiological tremor data, and real-time experiments are conducted using an ADXL-203 accelerometer. Results demonstrate that the performance of the proposed method outperforms the existing analytical integration method.
Keywords: inertial sensors; integration drift; periodic motion; phase-shift; Fourier linear combiner

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MDPI and ACS Style

Latt, W.T.; Veluvolu, K.C.; Ang, W.T. Drift-Free Position Estimation of Periodic or Quasi-Periodic Motion Using Inertial Sensors. Sensors 2011, 11, 5931-5951.

AMA Style

Latt WT, Veluvolu KC, Ang WT. Drift-Free Position Estimation of Periodic or Quasi-Periodic Motion Using Inertial Sensors. Sensors. 2011; 11(6):5931-5951.

Chicago/Turabian Style

Latt, Win Tun; Veluvolu, Kalyana Chakravarthy; Ang, Wei Tech. 2011. "Drift-Free Position Estimation of Periodic or Quasi-Periodic Motion Using Inertial Sensors." Sensors 11, no. 6: 5931-5951.

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