Aiming at the inherent particle degradation problem of particle filter algorithm ... the proposed algorithm randomly selects local area as the particle state model, so that the particle state model ...

Abstract: The particle filter is a Bayesian estimation technique based on Monte Carlo simulation. It is ideal for non-linear, nonGaussian dynamical systems with applications in many areas, such as ...

4. Conclusion To address the problems of low map utilization and poor positioning accuracy of turn-offs in the current personnel inertial positioning algorithm, an improved particle filter-based map ...