A-RAIM and R-RAIM Performance using the Classic and MHSS Methods

Jiang, Yiping; Wang, Jinling

doi:10.1017/s0373463313000507

Cited by 7 publications

(4 citation statements)

References 17 publications

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“…The fault detection of ARAIM is focused on the position domain [33]. Then a matrix is constructed to extract the position part from the state estimate.…”

Section: Fault Detection Of Subset-reduced Gnss/ins Araimmentioning

confidence: 99%

A Subset-Reduced Method for FDE ARAIM of Tightly-Coupled GNSS/INS

Pan

Zhan

Zhang

et al. 2019

Sensors

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The advanced receiver autonomous integrity monitoring (advanced RAIM, ARAIM) is the next generation of RAIM which is widely used in civil aviation. However, the current ARAIM needs to evaluate hundreds of subsets, which results in huge computational loads. In this paper, a method using the subset excluding entire constellation to evaluate the single satellite fault subsets and the simultaneous multiple satellites fault subsets is presented. The proposed ARAIM algorithm is based on the tight integration of the global navigation satellite system (GNSS) and inertial navigation system (INS). The number of subsets that the proposed GNSS/INS ARAIM needs to consider is about 2% of that of the current ARAIM, which reduces the computational load dramatically. The detailed fault detection (FD) process and fault exclusion (FE) process of the proposed GNSS/INS ARAIM are provided. Meanwhile, the method to obtain the FD-only integrity bound and the after-exclusion integrity bound is also presented in this paper. The simulation results show that the proposed GNSS/INS ARAIM is able to find the failing satellite accurately and its integrity performance is able to meet the integrity requirements of CAT-I precision approach.

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“…The fault detection of ARAIM is focused on the position domain [33]. Then a matrix is constructed to extract the position part from the state estimate.…”

Section: Fault Detection Of Subset-reduced Gnss/ins Araimmentioning

confidence: 99%

A Subset-Reduced Method for FDE ARAIM of Tightly-Coupled GNSS/INS

Pan

Zhan

Zhang

et al. 2019

Sensors

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“…The major difference between these two techniques is in the positioning method. Code-only measurements are used in A-RAIM while both code and time-differenced carrier phase measurements are used in R-RAIM to ensure higher precision without the necessity of an integer ambiguity resolution algorithm [125][126][127].…”

Section: Receiver Autonomous Integrity Monitoringmentioning

confidence: 99%

Global navigation satellite systems performance analysis and augmentation strategies in aviation

Sabatini

Moore

Ramasamy

2017

Progress in Aerospace Sciences

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In an era of significant air traffic expansion characterised by a rising congestion of the radiofrequency spectrum and a widespread introduction of Unmanned Aircraft Systems (UAS), Global Navigation Satellite Systems (GNSS) are being exposed to a variety of threats including signal interferences, adverse propagation effects and challenging platform-satellite relative dynamics. Thus, there is a need to characterize GNSS signal degradations and assess the effects of interfering sources on the performance of avionics GNSS receivers and augmentation systems used for an increasing number of mission-essential and safety-critical aviation tasks (e.g., experimental flight testing, flight inspection/certification of ground-based radio navigation aids, wide area navigation and precision approach). GNSS signal deteriorations typically occur due to antenna obscuration caused by natural and man-made obstructions present in the environment (e.g., elevated terrain and tall buildings when flying at low altitude) or by the aircraft itself during manoeuvring (e.g., aircraft wings and empennage masking the on-board GNSS antenna), ionospheric scintillation, Doppler shift, multipath, jamming and spurious satellite transmissions. Anyone of these phenomena can result in partial to total loss of tracking and possible tracking errors, depending on the severity of the effect and the receiver characteristics. After designing GNSS performance threats, the various augmentation strategies adopted in the Communication, Navigation, Surveillance/Air Traffic Management and Avionics (CNS+A) context are addressed in detail. GNSS augmentation can take many forms but all strategies share the same fundamental principle of providing supplementary information whose objective is improving the performance and/or trustworthiness of the system. Hence it is of paramount importance to consider the synergies offered by different augmentation strategies including Space Based Augmentation System (SBAS), Ground Based Augmentation System (GBAS), Aircraft Based Augmentation System (ABAS) and Receiver Autonomous Integrity Monitoring (RAIM). Furthermore, by employing multi-GNSS constellations and multi-sensor data fusion techniques, improvements in availability and continuity can be obtained. SBAS is designed to improve GNSS system integrity and accuracy for aircraft navigation and landing, while an alternative approach to GNSS augmentation is to transmit integrity and differential correction messages from ground-based augmentation systems (GBAS). In addition to existing space and ground based augmentation systems, GNSS augmentation may take the form of additional information being provided by other on-board avionics systems, such as in ABAS. As these on-board systems normally operate via separate principles than GNSS, they are not subject to the same sources of error or interference. Using suitable data link and data processing technologies on the ground, a certified ABAS capability could be a core element of a future GNSS Space-Ground-Aircraft Augmentation Network ...

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“…The receiver autonomous integrity monitoring (RAIM) methodology used in aviation is an example of a consistency check tool that uses duplicated measurements. Overlapping observations are used to verify statistical consistency; however, detecting CSs in multiple channels is difficult [ 12 , 26 , 27 , 28 ]. The RANCO (Range Consensus) technique solves this difficulty by calculating all possible combinations to produce a normal channel, making real-time processing on the receiver challenging [ 29 , 30 , 31 ].…”

Section: Introductionmentioning

confidence: 99%

Multiple Cycle Slip Detection Algorithm for a Single Frequency Receiver

Yoon

Lee

Heo

2022

Sensors

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A satellite navigation system makes it simple to find and navigate to a specific position. Although a carrier measurement is required to establish a precise position due to the characteristics of the carrier observation, it is difficult to determine a robust position in a poor signal reception environment such as urban areas. Various studies are being carried out to overcome this problem, with cycle slips being the most important factor. With only a single frequency, it is very challenging to detect cycle slips in multiple satellite channels at the same time. A geometry-based technique is proposed in this study as a technical solution for detecting simultaneous cycle slips for multiple channels utilizing only a single-frequency receiver. The method could detect a half-wavelength size of cycle slip for each channel through the geometry information.

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A-RAIM and R-RAIM Performance using the Classic and MHSS Methods

Cited by 7 publications

References 17 publications

A Subset-Reduced Method for FDE ARAIM of Tightly-Coupled GNSS/INS

A Subset-Reduced Method for FDE ARAIM of Tightly-Coupled GNSS/INS

Global navigation satellite systems performance analysis and augmentation strategies in aviation

Multiple Cycle Slip Detection Algorithm for a Single Frequency Receiver

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