摘要粒子滤波算法逐渐成为科学领域的研究热点. 文章首先阐述了粒子滤波算法的提出背景,
根据犿阶马尔科夫假设, 分析算法基本原理并推导后验概率密度及权值更新公式 …

In this paper, we propose and explore a novel panel data-based particle-filter (PDPF) model
to conduct fashion sales forecasting. We evaluate the performance of proposed model by …

Visual tracking is one of the pre-eminent tasks in several computer vision applications.
Particle filter (PF) is extensively used in visual tracking for intelligent surveillance system …

Due to the complexity of the underwater environment, tracking underwater targets via
traditional particle filters is a challenging task. To resolve the problem that the tracking …

In a visual object tracking technology the particle filter (PF) is frequently used. The main
drawback of the particle filter is that a large quantity of particles is required. This paper …

The automatic landing of a quadrotor is often associated with model uncertainties,
measurement noises, and ground effect phenomenon. To mitigate these challenges, the …

New heuristic filters are proposed for state estimation of nonlinear dynamic systems based
on particle swarm optimization (PSO) and differential evolution (DE). The methodology …

Particle filters (PF), as a kind of non-linear/non-Gaussian estimation method, are suffering
from two problems in large-dimensional cases, namely particle impoverishment and sample …

This paper introduces a new filter for nonlinear systems state estimation. The new filter
formulates the state estimation problem as a stochastic dynamic optimization problem and …

Particle filter (PF) is introduced to tackle the limitations of the Kalman filter which adopts
Gaussian in the state and noise of the system. PFs have the problem of sample …