Adaptive particle filter: Tuning particle number and sampling interval

被引：0

作者：

Ye Liang ^{[1
]}

Yang Feng ^{[1
]}

Pan Quan ^{[1
]}

Liang Yan ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Coll Automat Control, Xian 710072, Peoples R China

来源：

PROCEEDINGS OF THE 24TH CHINESE CONTROL CONFERENCE, VOLS 1 AND 2 | 2005年

关键词：

adaptive particle filter; sampling interval; particle number; maneuvering;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Particle number and sampling interval have remarkably influence on the performance and complexity of particle filter. In this paper, an adaptive particle filter for tracking application is proposed, which is based on tuning particle number and sampling interval. Simulation results validate the ability to effectively reduce algorithm complexity and the adaptability to maneuvering.

引用

页码：803 / 807

页数：5