The linear fitting Kalman filter for nonlinear tracking

@article{Xiong2015TheLF,
  title={The linear fitting Kalman filter for nonlinear tracking},
  author={Yuanbo Xiong and X. Zhong and R. Yang},
  journal={2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)},
  year={2015},
  pages={511-515}
}
Dynamic estimation in various synthetic aperture radar (SAR) applications often involves nonlinear models. The first-order Taylor approximation is usually used to linearize the nonlinear functions to perform estimation efficiently. However, the error generated by the first-order Taylor approximation cannot be negligible when dynamic systems are high nonlinearity or with large input errors. This paper proposes a linearization method by minimizing the difference between the nonlinear function and… Expand
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References

SHOWING 1-10 OF 12 REFERENCES
New extension of the Kalman filter to nonlinear systems
  • 4,836
  • PDF
Cubature Kalman Filters
  • 1,838
  • PDF
Novel approach to nonlinear/non-Gaussian Bayesian state estimation
  • 7,388
  • PDF
A finite-difference method for linearization in nonlinear estimation algorithms
  • 126
A new method for the nonlinear transformation of means and covariances in filters and estimators
  • 3,074
  • PDF
Beyond the Kalman Filter: Particle Filters for Tracking Applications
  • 3,596
  • PDF
Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software
  • 4,327
  • PDF
New developments in state estimation for nonlinear systems
  • 908
Stochastic Models, Estimation And Control
  • 1,729
  • PDF
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