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

S. A. Gadsden; Mohammad A. AlShabi; T. Kirubarajan

doi:10.1117/12.2177226

21 May 2015 Square-root formulation of the SVSF with applications to nonlinear target tracking problems

S. A. Gadsden, Mohammad A. AlShabi, T. Kirubarajan

Proceedings Volume 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV; 947408 (2015) https://doi.org/10.1117/12.2177226
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

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.

Citation Download Citation

S. A. Gadsden, Mohammad A. AlShabi, and T. Kirubarajan "Square-root formulation of the SVSF with applications to nonlinear target tracking problems", Proc. SPIE 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV, 947408 (21 May 2015); https://doi.org/10.1117/12.2177226

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