RAIM-FDE Revisited: A New Breakthrough In Availability Performance With<scp><i>nio</i></scp><i>RAIM</i>(Novel Integrity-Optimized RAIM)

Hwang, Patrick Y. C.; Brown, Robert G.

doi:10.1002/j.2161-4296.2006.tb00370.x

Cited by 39 publications

(29 citation statements)

References 1 publication

(1 reference statement)

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“…The protection level may be reduced by choosing a different position solution. This approach has been exploited in novel integrity-optimized RAIM within the framework of slope-based RAIM, where single faults are assumed [25] and accuracy constraints are not considered. It has also been exploited in the optimally weighted average solution, which considers both accuracy and integrity constraints [26].…”

Section: E Improvements In the Position Solutionmentioning

confidence: 99%

Baseline advanced RAIM user algorithm and possible improvements

Blanch

Walker

Enge

et al. 2015

IEEE Trans. Aerosp. Electron. Syst.

193

223

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We present a baseline multiple fault and multiconstellation advanced receiver autonomous integrity monitoring user algorithm for vertical guidance. After reviewing the navigation requirements for localizer performance with vertical guidance down to 200 feet, we describe in detail how to process the pseudorange measurements, the nominal error models, and the prior fault probabilities to obtain the Manuscript

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Section: E Improvements In the Position Solutionmentioning

confidence: 99%

Baseline advanced RAIM user algorithm and possible improvements

Blanch

Walker

Enge

et al. 2015

IEEE Trans. Aerosp. Electron. Syst.

193

223

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“…Direct Integrity Risk Evaluation (DIRE) Using a Non-Least-Squares (NLS) Estimator. As mentioned in Section 1, three main research efforts have investigated the possibility of using Non-Least-Squares (NLS) estimators in RAIM (Hwang and Brown, 2006;Lee, 2008;Blanch et al, 2012). The first two references pioneered the use of NLS estimators in RAIM, but employed heuristic approaches to reduce integrity risk.…”

Section: Non-least-squares Estimator Design To Minimise Integritymentioning

confidence: 99%

Integrity Risk Minimisation in RAIM Part 2: Optimal Estimator Design

2016

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This paper is the second part of a two-part research effort to find the optimal detector and estimator that minimise the integrity risk in Receiver Autonomous Integrity Monitoring (RAIM). Part 1 shows that for realistic navigation requirements, the solution separation RAIM method can approach the optimal detection region when using a least-squares estimator. This paper constitutes Part 2. It presents new methods to design Non-Least-Squares (NLS) estimators, which, in exchange for a slight increase in nominal positioning error, can substantially lower the integrity risk. A first method is formulated as a multi-dimensional minimisation problem, which directly minimises integrity risk, but can only be solved using a time-consuming iterative process. Parity space representations are then exploited to develop a computationally-efficient, near-optimal NLS-estimator-design method. Performance analyses for an example multi-constellation Advanced RAIM (ARAIM) application show that this new method enables significant integrity risk reduction in real-time implementations where computational resources are limited. K E Y WO R D S 1. RAIM.2. Risk Minimisation.

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“…This method requires an a priori allocation of the total probability of missed detection for the best and second-best ambiguity candidates, which is another problem that must be solved. To avoid this, the constraint for d 0 o and d 0 s is determined by using the concept of worst-case protection, which is commonly used in the integrity monitoring approach (Hwang and Brown 2006).…”

Section: Integrity Monitoring-based Ratio Test (Im-rt)mentioning

confidence: 99%

Integrity monitoring-based ratio test for GNSS integer ambiguity validation

Yuan

et al. 2015

GPS Solut

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The combination of multiple global navigation satellite systems (GNSSs) is able to improve the accuracy and reliability, which is beneficial for navigation in safetycritical applications. Due to the relatively low accuracy of pseudorange observations, the single-epoch GNSS realtime kinematic (RTK) using phase observations can be utilized to achieve centimeter accuracy positioning instantaneously. Since the traditional ratio tests for ambiguity validation are not reliable in the presence of biases, it is therefore difficult for the single-epoch RTK to achieve high precision and high reliability, simultaneously. Instead of using an empirical constant detection threshold or a fixed failure/success rate requirement in the ratio tests for ambiguity validation, we propose an integrity monitoringbased ratio test (IM-RT). It uses the ambiguity protection level to control the false alarm and missed detection errors. The performance of the proposed method is tested by using simulated and real-world data. The simulation results show that the IM-RT can obtain an optimal balance between the false alarm and missed detection performance. The experiments from kinematic real-world data indicate that the IM-RT improves the positioning accuracy by over 10 cm and enhances the continuity by 11 %, when compared with the fixed detection threshold-based ratio test.

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RAIM-FDE Revisited: A New Breakthrough In Availability Performance WithnioRAIM(Novel Integrity-Optimized RAIM)

Abstract: ABSTRACT

Cited by 39 publications

References 1 publication

Baseline advanced RAIM user algorithm and possible improvements

Baseline advanced RAIM user algorithm and possible improvements

Integrity Risk Minimisation in RAIM Part 2: Optimal Estimator Design

Integrity monitoring-based ratio test for GNSS integer ambiguity validation

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