Real-time assessment of GNSS observation noise with single receivers
Data(s) |
2013
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Resumo |
Stochastic modelling is critical in GNSS data processing. Currently, GNSS data processing commonly relies on the empirical stochastic model which may not reflect the actual data quality or noise characteristics. This paper examines the real-time GNSS observation noise estimation methods enabling to determine the observation variance from single receiver data stream. The methods involve three steps: forming linear combination, handling the ionosphere and ambiguity bias and variance estimation. Two distinguished ways are applied to overcome the ionosphere and ambiguity biases, known as the time differenced method and polynomial prediction method respectively. The real time variance estimation methods are compared with the zero-baseline and short-baseline methods. The proposed method only requires single receiver observation, thus applicable to both differenced and un-differenced data processing modes. However, the methods may be subject to the normal ionosphere conditions and low autocorrelation GNSS receivers. Experimental results also indicate the proposed method can result on more realistic parameter precision. |
Identificador | |
Publicador |
International Association of Chinese Professionals in Global Positioning Systems |
Relação |
http://www.gnss.com.au/JoGPS/v12n1/JoGPS_v12n1p73-82.pdf DOI:10.5081/jgps.12.1.73 Wang, Lei, Feng, Yanming, & Wang, Charles (2013) Real-time assessment of GNSS observation noise with single receivers. Journal of Global Positioning Systems, 12(1), pp. 73-82. |
Direitos |
Copyright 2013 CPGPS |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #080500 DISTRIBUTED COMPUTING #090904 Navigation and Position Fixing #stochastic model #variance estimation #GNSS observables #Multi-GNSS |
Tipo |
Journal Article |