264 citations · 548 across the 7 of their papers we have counts for
7 papers
Partial Consensus and Conservative Fusion of Gaussian Mixtures for Distributed PHD Fusion
Tiancheng Li, Juan M Corchado, Shudong Sun
We propose a novel consensus notion, called "partial consensus", for distributed GM-PHD (Gaussian mixture probability hypothesis density) fusion based on a peer-to-peer (P2P) senso…
The Optimal Arbitrary-Proportional Finite-Set-Partitioning
Tiancheng Li
This paper considers the arbitrary-proportional finite-set-partitioning problem which involves partitioning a finite set into multiple subsets with respect to arbitrary nonnegative…
Do we always need a filter?
Tiancheng Li, Juan M. Corchado, Javier Bajo +2
Since the groundbreaking work of the Kalman filter in the 1960s, considerable effort has been devoted to various discrete time filters for dynamic state estimation, especially incl…
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…