Performance evaluation of particle filter resampling techniques for improved estimation of misalignment and trajectory deviation
type: Item
instance of: scholarly article
title: Performance evaluation of particle filter resampling techniques for improved estimation of misalignment and trajectory deviation
zbMATH Open document ID: 1448.94054
author: Sudipta Chakraborty
author: Suvendu Chattaraj
author: Abhik Mukherjee
published in: Multidimensional Systems and Signal Processing
publication date: 2020-08-03T00:00:00Z
Mathematics Subject Classification ID: 94A12
Mathematics Subject Classification ID: 93E11
zbMATH DE Number: 7226923
zbMATH Keywords: Kalman filter
zbMATH Keywords: evolutionary particle filter
zbMATH Keywords: transfer alignment
zbMATH Keywords: velocity matching
zbMATH Keywords: systematic resampling
zbMATH Keywords: parallel processing
MaRDI profile type: Publication
full work available at URL: s11045-017-0472-1
OpenAlex ID: W2586172202
cites work: Resampling algorithms for particle filters: a computational complexity perspective
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cites work: Modeling non-Gaussian time-varying vector autoregressive processes by particle filtering
cites work: Particle filter for state estimation of jump Markov nonlinear system with application to multi-targets tracking
cites work: Gaussian particle filtering
cites work: Sequential Monte Carlo Methods for Dynamic Systems
cites work: On Unscented Kalman Filtering for State Estimation of Continuous-Time Nonlinear Systems
DOI: 10.1007/S11045-017-0472-1
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description: scientific article; zbMATH DE number 7226923