JOURNAL ARTICLE

Modified weighted integer least squares estimations for GNSS integer ambiguity resolution

Abstract

In this contribution, modified versions of Agrell, Eriksson, Vardy, Zeger (AEVZ) algorithms for integer ambiguity resolution of GNSS phase observations are presented. This modification removes many redundant mathematical operations of the AEVZ algorithm based on a recursive function. We also introduce G-based and H-based versions of AEVZ and its modification and compare the modified versions with the AEVZ method. Numerical results reveal that the H-based version of the modified algorithm performs the best. Therefore, it accelerates solving the high-dimensional weighted integer least squares problem. This results in faster integer ambiguity resolution.

Keywords:
Integer (computer science) Ambiguity resolution Ambiguity Algorithm Mathematics Least-squares function approximation Resolution (logic) GNSS applications Function (biology) Mathematical optimization Computer science Global Positioning System Statistics Artificial intelligence Telecommunications

Metrics

3
Cited By
1.20
FWCI (Field Weighted Citation Impact)
22
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

GNSS positioning and interference
Physical Sciences →  Engineering →  Aerospace Engineering
Geophysics and Gravity Measurements
Physical Sciences →  Earth and Planetary Sciences →  Oceanography
Soil Moisture and Remote Sensing
Physical Sciences →  Environmental Science →  Environmental Engineering
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