Performance evaluation of particle filter resampling techniques for improved estimation of misalignment and trajectory deviation

DOI10.1007/S11045-017-0472-1zbMath1448.94054OpenAlexW2586172202MaRDI QIDQ784583

Abhik Mukherjee, Sudipta Chakraborty, Suvendu Chattaraj

Publication date: 3 August 2020

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11045-017-0472-1

zbMATH Keywords

Kalman filterparallel processingevolutionary particle filtersystematic resamplingtransfer alignmentvelocity matching

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Cites Work

• Modeling non-Gaussian time-varying vector autoregressive processes by particle filtering
• Resampling algorithms for particle filters: a computational complexity perspective
• Robust \(H_\infty\) filtering for uncertain two-dimensional continuous systems with time-varying delays
• Particle filter for state estimation of jump Markov nonlinear system with application to multi-targets tracking
• Sequential Monte Carlo Methods for Dynamic Systems
• On Unscented Kalman Filtering for State Estimation of Continuous-Time Nonlinear Systems
• A survey of convergence results on particle filtering methods for practitioners
• Gaussian particle filtering
• Resampling algorithms and architectures for distributed particle filters

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