A Preferable Airborne Integrated Navigation Method Based on INS and GPS

Joint Authors

Zhang, Xiaoyue
Ning, Kaiwen

Source

Journal of Sensors

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-06-19

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Civil Engineering

Abstract EN

An integrated navigation method based on INS and GPS was proposed for airborne navigation.

The influence of scale factor error and misalignment error of gyroscope and accelerometer on navigation accuracy was analyzed.

Compared with traditional INS/GPS integrated navigation method, scale factor error and misalignment error were added to the state model of the integrated navigation system.

The observability of scale factor error and misalignment error was analyzed combined with typical airborne movement.

Then the integrated system was optimized, and the new navigation model of the integrated system was obtained.

The optimized INS/GPS integrated model was validated by numerical simulation and turntable test.

Comparing the proposed model with traditional integrated model (integrated system error states do not include scale factor error and misalignment error), the results showed that the proposed integrated navigation method can improve the accuracy from 8% to 28% of the east, north, and upward positions.

American Psychological Association (APA)

Zhang, Xiaoyue& Ning, Kaiwen. 2018. A Preferable Airborne Integrated Navigation Method Based on INS and GPS. Journal of Sensors،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1202005

Modern Language Association (MLA)

Zhang, Xiaoyue& Ning, Kaiwen. A Preferable Airborne Integrated Navigation Method Based on INS and GPS. Journal of Sensors No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1202005

American Medical Association (AMA)

Zhang, Xiaoyue& Ning, Kaiwen. A Preferable Airborne Integrated Navigation Method Based on INS and GPS. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1202005

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1202005