264 citations · 347 across the 4 of their papers we have counts for
4 papers
Fighting Sample Degeneracy and Impoverishment in Particle Filters: A Review of Intelligent Approaches
Tiancheng Li, Shudong Sun, Tariq P. Sattar +1
During the last two decades there has been a growing interest in Particle Filtering (PF). However, PF suffers from two long-standing problems that are referred to as sample degener…
Numerical Fitting-based Likelihood Calculation to Speed up the Particle Filter
Tiancheng Li, Shudong Sun, Juan M. Corchado +2
The likelihood calculation of a vast number of particles is the computational bottleneck for the particle filter in applications where the observation information is rich. For fast…
Roughening Methods to Prevent Sample Impoverishment in the Particle PHD Filter
Tiancheng Li, Tariq P. Sattar, Qing Han +1
Mahler's PHD (Probability Hypothesis Density) filter and its particle implementation (as called the particle PHD filter) have gained popularity to solve general MTT (Multi-target T…
Adapting sample size in particle filters through KLD-resampling
Tiancheng Li, Shudong Sun, Tariq Pervez Sattar
This letter provides an adaptive resampling method. It determines the number of particles to resample so that the Kullback-Leibler distance (KLD) between distribution of particles…