2001
DOI: 10.1109/7.976966
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Sigma inflation for the local area augmentation of GPS

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Cited by 18 publications
(17 citation statements)
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“…The data broadcasts rate has to be increased accordingly, and this will become a datalink bandwidth burden for the master station. The finite sample size demands a counterbalance between uncertainties in test statistics and susceptible of correlation coefficient between multiple reference receivers (Pervan and Sayim 2001). There are many candidate estimation methods that could deal with the sample size problem.…”
Section: The ML Based Position Domain Mrccmentioning
confidence: 99%
“…The data broadcasts rate has to be increased accordingly, and this will become a datalink bandwidth burden for the master station. The finite sample size demands a counterbalance between uncertainties in test statistics and susceptible of correlation coefficient between multiple reference receivers (Pervan and Sayim 2001). There are many candidate estimation methods that could deal with the sample size problem.…”
Section: The ML Based Position Domain Mrccmentioning
confidence: 99%
“…The details of the computation of inflation factors from an integrity risk perspective are provided in reference (Pervan and Sayim, 2001), but for clarity in exposition here, inflation factors will be directly generated using a 99 . 9% confidence interval.…”
Section: A D a P T I V E B I N N I N G M E T H O D Thementioning
confidence: 99%
“…In contrast to the impulse response coefficients in (5), these coefficients are vector-valued since the G subsystem, which maps {v k } to {u k }, is single-input, multiple-output. Assuming zero initial conditions (u 0 ¼ 0), it follows from (12) that…”
Section: Application To Spherically Symmetric Overboundingmentioning
confidence: 99%
“…Navigation systems based on DGPS such as the Local Area Augmentation System (LAAS) [2] and other ground-based augmentation systems utilize filters to smooth the pseudo-range corrections generated by reference receiver processing. The filtering operation introduces time-correlation of the noise that cannot be accounted for with conventional overbounding techniques (e.g., [3][4][5]). This makes it difficult to show that the system design satisfies navigation integrity requirements since the effect of time-correlated errors on the probability density function (PDF) of the filter output is not modelled.…”
Section: Introductionmentioning
confidence: 99%