Alternative Algorithm for Determining the Attitude Parameters of a Moving Platform Using Multi-Antenna GNSS Sensors
This case study aims to demonstrate a multi-antenna Global Navigation Satellite System (GNSS) technique and quality evaluation approach that can be used to determine the attitude parameters for a moving platform. First, considering the highly dynamic behavior of a moving platform, a noniterative parameter determination approach was introduced. A rigorous error analysis approach was then established to give explicit indications on the obtained attitude parameters. Based on the numerical results from both simulated and real datasets, it has been illustrated that the proposed approach is capable of giving efficient and reliable attitude parameter estimates independently without the need for auxiliary information. Consequently, the multi-antenna GNSS system can serve as an immediate resolution for the attitude determination of moving platforms in modern day applications.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/07339453
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Supplemental Notes:
- Copyright © 2013 American Society of Civil Engineers.
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Authors:
- Han, Jen-Yu
- Guo, Jenny
- Liu, Rou-Yu
- Publication Date: 2013-11
Language
- English
Media Info
- Media Type: Print
- Features: References;
- Pagination: pp 194-201
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Serial:
- Journal of Surveying Engineering
- Volume: 139
- Issue Number: 4
- Publisher: American Society of Civil Engineers
- ISSN: 0733-9453
- Serial URL: http://ascelibrary.org/journal/jsued2
Subject/Index Terms
- TRT Terms: Antennas; Attitude (Flight dynamics); Global Positioning System; Mathematical models; Monitoring; Moving target indicators
- Identifier Terms: Global Navigation Satellite System
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I20: Design and Planning of Transport Infrastructure; I61: Equipment and Maintenance Methods;
Filing Info
- Accession Number: 01496266
- Record Type: Publication
- Files: TRIS, ASCE
- Created Date: Oct 24 2013 9:35AM