NDLI: Approaches to evaluate and improve short-term relative accuracy of GPS/INS systems

Content Provider	IEEE Xplore Digital Library
Author	Quan Zhang Xiaoji Niu Chuanchuan Liu Hongping Zhang Chuang Shi Jing Zhao
Copyright Year	2012
Description	Author affiliation: GNSS Research Center, Wuhan University, China (Quan Zhang; Xiaoji Niu; Chuanchuan Liu; Hongping Zhang; Chuang Shi) \|\| National Remote Sensing Center of China, Beijing, China (Jing Zhao)
Abstract	GPS/INS integrated systems can provide accurate and reliable navigation information using data fusing algorithm such as a Kalman filter. Current research works related to GPS/INS navigation systems mainly focused on the absolute accuracy with dominant components of mid-term and long-term errors. However, the short-term relative accuracy will be required particularly in some applications, such as POS for LiDAR and InSAR, GPS/INS deeply-couple. This paper raises the importance of the short-term relative accuracy of the GPS/INS systems for certain applications. Then the method to evaluate the short-term navigation errors using Allan Variance analysis is proposed and the effort to improve the short-term accuracy by adjusting the Kalman filtering parameters is made. The feasibility and effectiveness of the proposed methods were verified by simulation results and typical field test results. The outcome of this paper will help to optimize the design of GPS/INS systems for specific applications areas where short-term relative accuracy is the key requirement; and facilitate the use of the low-end GPS/INS systems in these areas.
Starting Page	396
Ending Page	407
File Size	6419364
Page Count	12
File Format	PDF
ISBN	9781467303859
ISSN	21533598
e-ISBN	9781467303873
DOI	10.1109/PLANS.2012.6236908
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Global Positioning System parameters tuning GPS/INS short-term relative accuracy Allan variance Kalman filtering
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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