Constrained Wrapped Least Squares: A Tool for High Accuracy GNSS Attitude Determination
Journal article, 2022

Attitude determination is a popular application of Global Navigation Satellite Systems (GNSS). Many methods have been developed to solve the attitude determination problem with different performance offerings. We develop a constrained wrapped least-squares (C-WLS) method for highaccuracy attitude determination. This approach is built on an optimization model that leverages prior information related to the antenna array and the integer nature of the carrier-phase ambiguities in an innovative way. The proposed approach adopts an efficient search strategy to estimate the vehicle’s attitude parameters using ambiguous carrier-phase observations directly, without requiring prior carrier-phase ambiguity fixing. The performance of the proposed method is evaluated via simulations and experimentally utilizing data collected using multiple GNSS receivers. The simulation and experimental results demonstrate excellent performance, with the proposed method outperforming the ambiguity function method, the constrained LAMBDA and multivariate constrained LAMBDA methods, three prominent attitude determination algorithms.

wrapped least squares

attitude determination

Antenna arrays

Optimization

Antennas

Satellites

Satellite antennas

Global navigation satellite system

phase observations

Position measurement

GNSS

integer ambiguity resolution

Author

Xing Liu

King Abdullah University of Science and Technology (KAUST)

Tarig Ballal

King Abdullah University of Science and Technology (KAUST)

Hui Chen

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Tareq Y. Al-Naffouri

King Abdullah University of Science and Technology (KAUST)

IEEE Transactions on Instrumentation and Measurement

0018-9456 (ISSN) 1557-9662 (eISSN)

Vol. 71 8005315

Subject Categories

Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/TIM.2022.3193412

More information

Latest update

3/7/2024 9