A 3D spatial integrity monitor for terrain databases

Vadlamani, A.; Haag, Maarten Uijt de

doi:10.1109/dasc.2004.1391321

Cited by 4 publications

(3 citation statements)

References 2 publications

(6 reference statements)

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“…Real time databases for avionics are examined in Peng and Lin [22]. Spatial and temporal databases are the subject of Bonnor [23] and Vladlamani and de Haag [24]. Finally security and avionics databases are discussed in Roark [25].…”

Section: A Aerospace Database Applicationsmentioning

confidence: 99%

Signature search time evaluation in flat file databases

Robertazzi

2008

IEEE Trans. Aerosp. Electron. Syst.

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Section: A Aerospace Database Applicationsmentioning

confidence: 99%

Signature search time evaluation in flat file databases

Robertazzi

2008

IEEE Trans. Aerosp. Electron. Syst.

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“…This paper is an extension of work previously done by Ohio University and presented in [14][15][16][17]. Although the basic concepts introduced in those works are summarized here, the reader is referred to those works for an extensive treatment as well as various other flight test results.…”

Section: Prior Work and Current Effortmentioning

confidence: 95%

Terrain Elevation Data Integrity Monitor and Referenced Navigation

Vadlamani

Haag

2009

Journal of Aerospace Computing, Information, and Communication

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Synthetic vision systems provide a synthesized view of the outside world to pilots on displays in the flight deck. Terrain databases onboard aircraft are used as the source of terrain elevation information on synthetic vision system displays. Because the primary function of these displays is to improve flight safety, it is imperative that the terrain data used to generate the imagery conform to a high level of integrity. Otherwise, instead of preventing accidents, the terrain database would be cause of more. Hence, it is necessary to include an integrity monitor function that ensures the terrain data are consistent with the real world. In this paper, we revisit previously proposed concepts and present the development of a 3D spatial data integrity monitor. The framework is also extended to a terrain referenced navigation scheme such that both operations can be performed simultaneously. Presented furthermore is a Kalman filter design and its associated tradeoffs for improving the performance of the integrity monitor and navigation functions. The performance of the integrity monitor and position estimator for navigation is evaluated using flight test data collected in the vicinity of Braxton County airport in West Virginia.

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“…In contrast, non-redundant multi-sensor navigation sources, such as terrain-aided navigation (TAN), have relatively few associated integrity algorithms. For instance, references [13][14][15] propose a terrain-data anomaly detection algorithm based on GPS and radar altimeters. This method involves horizontal consistency detection by estimating and extracting terrain heights, introducing positive and negative vertical deviations on the measured elevation, and stacking horizontal detection results layer by layer to form a spatial envelope.…”

Section: Introductionmentioning

confidence: 99%

Two-Level Integrity-Monitoring Method for Multi-Source Information Fusion Navigation

Chen,

Zhao

2023

Remote Sensing

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To address the issue of integrity monitoring for a multi-source information fusion navigation system, a theoretical framework of two-level integrity monitoring is proposed. Firstly, at the system level, a system-integrity-monitoring method based on the Kalman filter weighted least-squares form is established to detect and isolate faulty navigation sources. Secondly, at the sensor level, considering the redundancy of the faulty navigation sources, this paper presents the design of a multi-mode comprehensive fault-detection method for non-redundant navigation sources. Additionally, an extended-dimension matrix optimized sensor-fault detection and verification method for redundant navigation sources is proposed. Finally, integrity risk allocation criteria are established based on the effectiveness of navigation sources to calculate the system protection level and trigger integrity alarms. The two-level integrity-monitoring method was tested on a multi-source information fusion navigation system integrated with an inertial navigation system (INS), global positioning system (GPS), BeiDou satellite navigation system (BDS), Doppler velocity log (DVL), barometric altimeter (BA), and terrain-aided navigation (TAN). Test results demonstrate that the proposed method can effectively isolate the faulty navigation source within 10 s. Furthermore, it can detect the faulty sensors within the faulty navigation sources, thereby enhancing the reliability and robustness of the multi-source information fusion navigation system.

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A 3D spatial integrity monitor for terrain databases

Abstract: Advanced cockpit display systems are the

Cited by 4 publications

References 2 publications

Signature search time evaluation in flat file databases

Signature search time evaluation in flat file databases

Terrain Elevation Data Integrity Monitor and Referenced Navigation

Two-Level Integrity-Monitoring Method for Multi-Source Information Fusion Navigation

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