2010 16th Asia-Pacific Conference on Communications (APCC) 2010
DOI: 10.1109/apcc.2010.5679708
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Modeling satellite Positioning errors in different configurations from end user's viewpoint

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Cited by 4 publications
(7 citation statements)
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“…Research and development efforts on GPS quality improvement include: launching new satellites (GAO, 2009; Committee on Oversight and Government Reform, 2009); deploying Differential GPS (GPS) and Wide Area Augmentation System (WAAS) infrastructures to improve GPS accuracy and availability (Wikipedia Differential GPS, 2012;Federal Aviation Administration, 2012); modelling GPS multi path effects (Gaylor et al, 2005;Wu & Hsieh, 2010); mitigating GPS errors in high-interference environment (Groves, 2005); modelling ionospheric effects (Rose et al, 2009); analyzing unintentional interference (Owen & Wells, 2001); modelling GPS signal blockage (Gaylor et al, 2005); and modelling GPS external behaviours (Nebot et al, 1996;Kong et al, 2010 (Nebot et al, 1996;Kong et al, 1999); improving INS error propagation models during positioning missions (Kong et al, 1999).…”
Section: Introductionmentioning
confidence: 99%
“…Research and development efforts on GPS quality improvement include: launching new satellites (GAO, 2009; Committee on Oversight and Government Reform, 2009); deploying Differential GPS (GPS) and Wide Area Augmentation System (WAAS) infrastructures to improve GPS accuracy and availability (Wikipedia Differential GPS, 2012;Federal Aviation Administration, 2012); modelling GPS multi path effects (Gaylor et al, 2005;Wu & Hsieh, 2010); mitigating GPS errors in high-interference environment (Groves, 2005); modelling ionospheric effects (Rose et al, 2009); analyzing unintentional interference (Owen & Wells, 2001); modelling GPS signal blockage (Gaylor et al, 2005); and modelling GPS external behaviours (Nebot et al, 1996;Kong et al, 2010 (Nebot et al, 1996;Kong et al, 1999); improving INS error propagation models during positioning missions (Kong et al, 1999).…”
Section: Introductionmentioning
confidence: 99%
“…Xs represents the GPS colour noise. , , and k are filter parameters obtained by experimental data sets during PSD curve fitting (Kong et al, 2010). This shaping filter could be presented in state space as the following second order system: …”
Section: Modelling Gps Error Using Shaping Filtermentioning
confidence: 99%
“…Another type of research looks at the external behaviours of GPS errors. GPS errors are modelled using shaping filter in frequency domain (Maybeck, 1979;Nebot et al, 1996;Kong et al, 2010). This approach could be referred as "black box" approach.…”
Section: Modelling Gps Error Using Shaping Filtermentioning
confidence: 99%
See 1 more Smart Citation
“…GPS error model where λ is experimentally obtained using the Power Spectrum Density of the GPS position errors[19].…”
mentioning
confidence: 99%