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2016•Unpublished venueRequires access

Quality assessment method of GNSS signals base on multivariate dilution of precision

Lu Yin, Deng Zhongliang, Di Zhu, Enwen Hu

Open publisher page 6 citations

Abstract

The signal quality is a key factor that affects positioning accuracy of GNSS. The pseudorange accuracy (UERE) of each satellite is greatly affected by the urban environments. Meanwhile, different satellite signals have different pseudorange measurement accuracies. A quality assessment method of GNSS signals based on Multivariate Dilution of Precision (MDOP) is proposed in this paper. It combines the factors that affect the pseudorange accuracy into a function and assesses the signal qualities of GNSS multi-system positioning with the GDOP. The simulation results show the effectiveness of the method.

About this research paper

What this paper is about

The signal quality is a key factor that affects positioning accuracy of GNSS. The pseudorange accuracy (UERE) of each satellite is greatly affected by the urban environments. Meanwhile, different satellite signals have different pseudorange measurement accuracies. A quality assessment method of GNSS signals based on Multivariate Dilution of Precision (MDOP) is proposed in this paper. It combines the factors that affect the pseudorange accuracy into a function and assesses the signal qualities of GNSS multi-system positioning with the GDOP. The simulation results show the effectiveness of the method.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The signal quality is a key factor that affects positioning accuracy of GNSS. The pseudorange accuracy (UERE) of each satellite is greatly affected by the urban environments. Meanwhile, different satellite signals have different pseudorange measurement accuracies. A quality assessment method of GNSS signals based on Multivariate Dilution of Precision (MDOP) is proposed in this paper. It combines the factors that affect the pseudorange accuracy into a function and assesses the signal qualities of GNSS multi-system positioning with the GDOP. The simulation results show the effectiveness of the method.

Key concepts: Pseudorange, Dilution of precision, GNSS applications, Computer science, Satellite system, SIGNAL (programming language), Quality (philosophy), Multivariate statistics

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