A novel particle filter for extended target tracking with random hypersurface model

DOI10.1016/J.AMC.2022.127081OpenAlexW4220681256MaRDI QIDQ2139798

Xing Zhang, Yanhua Yuan, Yunqi Chen, Zhibin Yan

Publication date: 19 May 2022

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2022.127081

zbMATH Keywords

particle filterimportance weightsextended target trackingrandom hypersurface model

Mathematics Subject Classification ID

Applications of statistics (62Pxx) Markov processes (60Jxx) Probabilistic methods, stochastic differential equations (65Cxx)

Cites Work

• Unnamed Item
• Simulated likelihood inference for stochastic volatility models using continuous particle filtering
• A novel particle filtering for nonlinear systems with multi-step randomly delayed measurements
• A general theory of particle filters in hidden Markov models and some applications
• Particle Markov Chain Monte Carlo Methods
• Conversions between Parametric and Implicit Forms Using Polar/Spherical Coordinate Representations

This page was built for publication: A novel particle filter for extended target tracking with random hypersurface model