2008Electronics Optics & ControlRequires access

On data-fusion algorithm and simulation of INS/CNS/GPS integrated navigation system

AO Hong-kui

Open publisher page 1 citations

Abstract

The principle and characteristics of INS/CNS/GPS integrated navigation system are investigated,and the mathematic model of the integrated navigation system is established.Then data-fusion principles of centralized Kalman filtering and federated filtering are used respectively for simulation of the system.The defects of centralized Kalman filter when it is applied to navigation system are pointed out.The simulation results not only demonstrate that the inertial navigation system aided by Global Positioning System(GPS) and Celestial Navigation System(CNS) can substantially improve the navigation precision,but also demonstrate that the federated filter is an ideal algorithm of fault-tolerance information-fusion,which can improve the reliability of the navigation system.

About this research paper

What this paper is about

The principle and characteristics of INS/CNS/GPS integrated navigation system are investigated,and the mathematic model of the integrated navigation system is established.Then data-fusion principles of centralized Kalman filtering and federated filtering are used respectively for simulation of the system.The defects of centralized Kalman filter when it is applied to navigation system are pointed out.The simulation results not only demonstrate that the inertial navigation system aided by Global Positioning System(GPS) and Celestial Navigation System(CNS) can substantially improve the navigation precision,but also demonstrate that the federated filter is an ideal algorithm of fault-tolerance information-fusion,which can improve the reliability of the navigation system.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The principle and characteristics of INS/CNS/GPS integrated navigation system are investigated,and the mathematic model of the integrated navigation system is established.Then data-fusion principles of centralized Kalman filtering and federated filtering are used respectively for simulation of the system.The defects of centralized Kalman filter when it is applied to navigation system are pointed out.The simulation results not only demonstrate that the inertial navigation system aided by Global Positioning System(GPS) and Celestial Navigation System(CNS) can substantially improve the navigation precision,but also demonstrate that the federated filter is an ideal algorithm of fault-tolerance information-fusion,which can improve the reliability of the navigation system.

Key concepts: Inertial navigation system, Navigation system, Global Positioning System, GPS/INS, Kalman filter, Celestial navigation, Sensor fusion, Computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
On data-fusion algorithm and simulation of INS/CNS/GPS integrated navigation system — Research Paper | ScholarLens