Title | ||
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A Robust Gaussian Approximate Fixed-Interval Smoother for Nonlinear Systems With Heavy-Tailed Process and Measurement Noises. |
Abstract | ||
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In this letter, a robust Gaussian approximate (GA) fixed-interval smoother for nonlinear systems with heavy-tailed process and measurement noises is proposed. The process and measurement noises are modeled as stationary Student's t distributions, and the state trajectory and noise parameters are inferred approximately based on the variational Bayesian (VB) approach. Simulation results show the eff... |
Year | DOI | Venue |
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2016 | 10.1109/LSP.2016.2533543 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Noise measurement,Robustness,Nonlinear systems,Standards,Covariance matrices,Bayes methods,Mathematical model | Mathematical optimization,Nonlinear system,Noise measurement,Robustness (computer science),Gaussian,Gaussian noise,Mathematics,Trajectory,Bayesian probability | Journal |
Volume | Issue | ISSN |
23 | 4 | 1070-9908 |
Citations | PageRank | References |
13 | 0.64 | 14 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yulong Huang | 1 | 186 | 21.07 |
Yonggang Zhang | 2 | 247 | 27.34 |
Ning Li | 3 | 163 | 14.85 |
Jonathon A. Chambers | 4 | 56 | 6.96 |