Abstract
Global Navigation Satellite Systems (GNSS) based attitude determination has become an essential alternative to conventional techniques. carrier-phase integer ambiguity resolution is the primary challenge for high-precision GNSS attitude determination. In this contribution, we develop a constrained wrapped least squares (C-WLS) method to estimate a vehicle's attitude innovatively. The proposed method avoids the complicated process of resolving integer ambiguities by directly employing ambiguous carrier-phase observations to determine a vehicle's attitude through a search procedure in the solution space. The proposed method also takes advantage of a novel optimization model, which leverages prior information such as antenna configuration, the integer property of the carrier-phase ambiguity, and the noise distribution of carrier-phase observations. The performance of the proposed method is verified using both simulation and experimental data. The results show that the proposed C-WLS method outperforms the renowned constrained LAMBDA method in various performance areas.
| Original language | English |
|---|---|
| Title of host publication | 2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1135-1139 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781728102443 |
| DOIs | |
| State | Published - Apr 2020 |
| Externally published | Yes |
Publication series
| Name | 2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020 |
|---|
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- Attitude determination
- GNSS
- Integer ambiguity resolution
- Least squares
- carrier-phase
ASJC Scopus subject areas
- Signal Processing
- Aerospace Engineering
- Control and Optimization
- Instrumentation
Fingerprint
Dive into the research topics of 'GNSS Attitude Determination Using a Constrained Wrapped Least Squares Approach'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver