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Proceedings Paper

Square-root formulation of the SVSF with applications to nonlinear target tracking problems
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Paper Abstract

The smooth variable structure filter (SVSF) is a state and parameter estimation strategy based on sliding mode concepts. It has seen significant development and research activity in recent years. In an effort to improve upon the numerical stability of the SVSF, a square-root formulation is derived. The square-root SVSF is based on Potter’s algorithm. The proposed formulation is computationally more efficient and reduces the risks of failure due to numerical instability. The new strategy is applied on target tracking scenarios for the purposes of state estimation. The results are compared with the popular Kalman filter.

Paper Details

Date Published: 21 May 2015
PDF: 12 pages
Proc. SPIE 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV, 947408 (21 May 2015); doi: 10.1117/12.2177226
Show Author Affiliations
S. A. Gadsden, Univ. of Maryland, Baltimore County (United States)
M. Al-Shabi, Philadelphia Univ. (Jordan)
T. Kirubarajan, McMaster Univ. (Canada)


Published in SPIE Proceedings Vol. 9474:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV
Ivan Kadar, Editor(s)

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