A New Filtering Algorithm Based on Information Fusion and Its Application

HUANG Xiao-rui; CUI Ping-yuan

您当前的位置：

首页 >

文章列表页 >

A New Filtering Algorithm Based on Information Fusion and Its Application

更新时间：2025-07-16

- A New Filtering Algorithm Based on Information Fusion and Its Application
- Acta Electronica Sinica Vol. 29, Issue 9, Pages: 1225-1227(2001)
- 作者机构：
  
  哈尔滨工业大学航天工程与力学系,黑龙江,哈尔滨,150001
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP274TN967.1
- Published：2001
- 稿件说明：
移动端阅览
HUANG Xiao-rui, CUI Ping-yuan. A New Filtering Algorithm Based on Information Fusion and Its Application[J]. Acta Electronica Sinica, 2001, 29(9): 1225-1227.
DOI：

HUANG Xiao-rui, CUI Ping-yuan. A New Filtering Algorithm Based on Information Fusion and Its Application[J]. Acta Electronica Sinica, 2001, 29(9): 1225-1227. DOI：

摘要

本文从组合导航系统研究的角度出发

提出了一种应用卡尔曼滤波技术建立多传感器信息融合系统的方法

该方法克服了以往存在的局部滤波器和全局滤波器具有相同数学模型的缺点

增强了算法的通用性.文中从概念理解、模型建立、系统结构等方面作了详细的分析

并针对GPS/INS组合导航系统进行了仿真.结果表明:该算法对提高导航系统的精度和运算速度是行之有效的.

Abstract

A new filtering Algorithm based on information fusion is presented in this paper in view of the research on integrated navigation system.This method overcomes the demerit of the same mathematical model in local and global filter

therefore improves the versatility of the system.The authors analyze the basic concept

model establishment and frame of the integrated navigation system in detail

then give the computer simulation for GPS/INS.The results show this method is very useful because it can improve the accuracy and calculation speed of the system.

关键词

Keywords

references

Views

1007

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

System Frame and Algorithm Research Based on Adaptive Information Fusion for the Integrated Navigation

Millimeter-Wave-Assisted Airborne Laser Communications

Mobility-Aware Radio Resource Configuration for NB-IoT

Dual Attention-Guided Detail and Structure Information Fusion Network for Image Dehazing

Distributed Robust State Estimation for Nonlinear Systems Based on Multivariate Laplace Distribution

Related Author

HUANG Xiao-rui

CUI Ping-yuan

CUI Hu-tao

GUO Wei-ran

ZHANG Shu-zhe

WEI Meng

WU Wen-zhou

HUANG Ji-wei

Related Institution

Dept.of Astronautic Engineering and Mechanics,Harbin Institute of Technology

The 28-th Research Institute of China Electronics Technology Group Corporation

Harbin Institute of Technology

The 54-th Research Institute of China Electronics Technology Group Corporation

Beijing Key Laboratory of Petroleum Data Mining, China University of Petroleum

⁰