Position and velocity estimation through acceleration measurements

This paper proposes a solution to the problem of velocity and position estimation for a class of oscillating systems whose position, velocity and acceleration are zero mean signals. The proposed scheme considers that the dynamic model of the system is unknown and only noisy acceleration measurements are available.

[1]  S.Y. Foo,et al.  Wavelet Processing for Pitch Period Estimation , 2006, 2006 Proceeding of the Thirty-Eighth Southeastern Symposium on System Theory.

[2]  Geoffroy Peeters,et al.  Music Pitch Representation by Periodicity Measures Based on Combined Temporal and Spectral Representations , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[3]  G Karreman,et al.  Heart muscle contraction oscillation. , 1995, International journal of bio-medical computing.

[4]  Meir Feder,et al.  Parameter Estimation and Extraction of Helicopter Signals Observed with a Wide-Band Interference , 1993, IEEE Trans. Signal Process..

[5]  John A. Crowe,et al.  Numerical double integration of acceleration measurements in noise , 2004 .

[6]  Zhaohui Wu,et al.  A pitch-based rapid speech segmentation for speaker indexing , 2005, Seventh IEEE International Symposium on Multimedia (ISM'05).

[7]  Ira J. Clarke,et al.  A time-domain analysis of multiple periodic signals , 2000 .

[8]  Peter H Veltink,et al.  Ambulatory estimation of foot placement during walking using inertial sensors. , 2010, Journal of biomechanics.

[9]  Robert M. Rogers,et al.  Applied Mathematics in Integrated Navigation Systems , 2000 .

[10]  Tao Liu,et al.  Development of a wearable sensor system for quantitative gait analysis , 2009 .

[11]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[12]  Guo Shize,et al.  Improving AMDF for pitch period detection , 2009, 2009 9th International Conference on Electronic Measurement & Instruments.