A Preferable Airborne Integrated Navigation Method Based on INS and GPS

المؤلفون المشاركون

Zhang, Xiaoyue
Ning, Kaiwen

المصدر

Journal of Sensors

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-14، 14ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-06-19

دولة النشر

مصر

عدد الصفحات

14

التخصصات الرئيسية

هندسة مدنية

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1202005