Improved navigation by combining VOR/DME information and air data

Bobick, J. C.; Bryson, Arthur E.

doi:10.2514/6.1971-928

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…The fact that airspeed is not always equal to ground speed is accounted for by adding an estimate of the air mass velocity to an estimate of the user's velocity computed from airspeed and heading measurements. This information is used to propagate an estimate of the user's latitude (⌳) and longitude () forward in time by numerically integrating the following differential equations, which are discussed in detail in [6,11,12]:…”

Section: Navigation Algorithmsmentioning

confidence: 99%

“…The error models for the accelerometer and rate gyro triads are experimentally derived and discussed further in [6]. These error models are mathematically identical to the dead reckoning system's sensor error models given by equations (10) and (11). Numerical values for the error model parameters for different grades (quality) of inertial sensors are given in Table 3.…”

Section: Navigation Algorithmsmentioning

confidence: 99%

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An Inexpensive DME-Aided Dead Reckoning Navigator

et al. 2003

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This paper evaluates the design and performance of an aided dead reckoning navigator for general aviation applications. The system evaluated fuses the navigation information derived from an inexpensive dead reckoning system with infrequent range measurements from distance measuring equipment transponders. The dead reckoning system is mechanized using sensors that are becoming part of the standard avionics suite in newer general aviation aircraft. Simulation studies and flight test results are discussed. The results show that the system can achieve a navigation accuracy of 0.25 nmi.

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Section: Navigation Algorithmsmentioning

confidence: 99%

Section: Navigation Algorithmsmentioning

confidence: 99%

An Inexpensive DME-Aided Dead Reckoning Navigator

et al. 2003

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Evaluation of Several Navigation Algorithms for Application to General Aviation

Conrad¹,

Jackson²,

Korsak³

1976

Navigation

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general aviation aircraft. The advent of small, low cost, digital computers may make such systems economically practical for small aircraft in the near future. However, since the navigational algorithms employed will have a major impact on the usefulness and ultimate cost of such systems, there is a need to understand the trade-offs between capability and computational complexity.Previous work in this area has addressed commereial applications (Refs. 1, 2, and 3). In these studies data rates, computer storage requirements, and implementation complexity were essentially unconstrained due to the use of relatively large and fast general-purpose digital flight computers, multiple VOR (VHF omnirange) and DME (distance measuring equipment) receivers, and sophisticated central air data computers, making the cost and complexity of such systems beyond the reach of most general aviation applications. 10.

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A Fault-Tolerant Estimator for Redundant Systems

Broen¹

1975

IEEE Trans. Aerosp. Electron. Syst.

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Improved navigation by combining VOR/DME information and air data

Cited by 4 publications

References 9 publications

An Inexpensive DME-Aided Dead Reckoning Navigator

An Inexpensive DME-Aided Dead Reckoning Navigator

Evaluation of Several Navigation Algorithms for Application to General Aviation

A Fault-Tolerant Estimator for Redundant Systems

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