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2016 | OriginalPaper | Buchkapitel

Cascading De-noising Algorithm for Improving GPS Positional Accuracy

verfasst von : Ch. Mahesh, R. Pavan Kumar Reddy, K. Ravindra, V. Kamakshi Prasad

Erschienen in: Proceedings of the Second International Conference on Computer and Communication Technologies

Verlag: Springer India

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Abstract

The temporal and spectral variations of GPS errors severely degrade the precise positioning. These errors may change the positional information from centimeters to several meters and may result catastrophic errors in navigational information of civil aviation. Applying of de-noising methods by targeting both temporal and spectral features of GPS errors is a new strategy. With conventional code carrier smoothing algorithms, the maximum amount of temporal variations is eliminated, and by novel wavelet multiresolution analysis, the other systematic and random errors of GPS are eliminated. In present research, a combination of code carrier smoothing algorithm and wavelet multiresolution analysis is used to improve the GPS receiver position smoothing. The proposed method is well suited for critical application like GAGAN of Indian SBAS augmentation for improving positional accuracy. In this analysis, the raw GPS data is firstly processed with traditional code carrier smoothing to remove the temporal variations before position is estimated. Subsequently, the Wavelet Hidden Markov Tree (WHMT) is used to reduce the systematic and random biases of GPS.

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Metadaten
Titel
Cascading De-noising Algorithm for Improving GPS Positional Accuracy
verfasst von
Ch. Mahesh
R. Pavan Kumar Reddy
K. Ravindra
V. Kamakshi Prasad
Copyright-Jahr
2016
Verlag
Springer India
DOI
https://doi.org/10.1007/978-81-322-2517-1_66