2009Unpublished venueRequires access

Using Known Base Vector Length as Quasi-Observation to Improve GPS Ambiguity Resolution

Lilong Liu, Lihong Jin, Wen Hongyan

Open publisher page 0 citations

Abstract

The least-square ambiguity decorrelation adjustment method(LAMBDA)is one of the most appropriate techniques for GNSS carrier phase ambiguity resolution. The LAMBDA method is an algorithm for searching the most likely integer ambiguity combination. Based on a floating least-squares estimation of integer ambiguities, it minimizes the quadratic norm of the residuals. In the paper the use of known base vector length during ambiguity resolution of arrier phase measurements is considered. The comparisons of correct ambiguity resolution probabilities in the cases when the base vector length information is used and unused are given.

About this research paper

What this paper is about

The least-square ambiguity decorrelation adjustment method(LAMBDA)is one of the most appropriate techniques for GNSS carrier phase ambiguity resolution. The LAMBDA method is an algorithm for searching the most likely integer ambiguity combination. Based on a floating least-squares estimation of integer ambiguities, it minimizes the quadratic norm of the residuals. In the paper the use of known base vector length during ambiguity resolution of arrier phase measurements is considered. The comparisons of correct ambiguity resolution probabilities in the cases when the base vector length information is used and unused are given.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The least-square ambiguity decorrelation adjustment method(LAMBDA)is one of the most appropriate techniques for GNSS carrier phase ambiguity resolution. The LAMBDA method is an algorithm for searching the most likely integer ambiguity combination. Based on a floating least-squares estimation of integer ambiguities, it minimizes the quadratic norm of the residuals. In the paper the use of known base vector length during ambiguity resolution of arrier phase measurements is considered. The comparisons of correct ambiguity resolution probabilities in the cases when the base vector length information is used and unused are given.

Key concepts: Ambiguity resolution, Decorrelation, Ambiguity, Lambda, Algorithm, Mathematics, Least-squares function approximation, GNSS applications

Related papers

Back to paper searchBrowse research topicsOriginal source
Using Known Base Vector Length as Quasi-Observation to Improve GPS Ambiguity Resolution — Research Paper | ScholarLens