Integer aperture least-squares estimation
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GNSS carrier phase ambiguity resolution is the key to fast and high-precision satellite positioning and navigation. It applies to a great variety of current and future models of GPS, modernized GPS and Galileo. In [Teunissen, 2003] we described the general principle of integer aperture (IA) ambiguity estimation. In the present contribution we introduce one particular IA estimator, the integer aperture least-squares (IALS) estimator. The motivation for studying this estimator stems from the known optimality of the integer least-squares estimator. It is shown how the IALS estimator extends the integer least-squares estimator and how its performance can be measured by means of its fail-rate and success-rate.
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Teunissen, Peter (2003)Abstract. In this invited contribution a brief review will be presented of the integer estimation theory as developed by the author over the last decade and which started with the introduction of the LAMBDA method in 1993. ...
Teunissen, Peter (2003)Carrier phase ambiguity resolution is the key to high precision Global Navigation Satellite System (GNSS) positioning and navigation. It applies to a great variety of current and future models of GPS, modernized GPS and ...
Teunissen, Peter (1999)A theorem of Teunissen (1999) states that the integer least-squares estimator mazimizes the probability of correct integer estimation within the class of admissible integer estimators. Applied to the problem of GNSS ...