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Evaluation of the computational errors of strapdown navigation systems.

Evaluation of the computational errors of strapdown navigation systems
Authors: Sullivan, J. J.;

Evaluation of the computational errors of strapdown navigation systems.

Abstract

The results of an evaluation of the computational errors for conventional, restrained, strapdown sensor mechanizations are presented. The analytic models of the computational errors (truncation, word length, integration scheme, integration interval, and sensor output resolution) presented were developed through detailed digital simulation of the navigation sensors and different data processing schemes. (Both the processes of computing vehicle attitude and transforming the accelerometer data from the vehicle to the inertial frame are considered.) These error models demonstrate the techniques by which computational processes can be properly designed for different applications and the magnitude of the computational errors controlled. Test data obtained during the centrifuge testing of a strapdown system are also presented, and demonstrate good agreement with the attitude computational error models. Of additional significance are the development and presentation herein of a gyro data processing technique that eliminates the commutativity error and permits the use of higher-order integration schemes for determining attitude; a fourth-order scheme is presented as an example.

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mechanics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
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