DGPM 406 PDF

This field stores the date that the IRT background job was run for this admission. Choose the type of movement this patient had. This field may be filled in for treating specialty movements. Denotes whether or not the patient wished to be excluded from the Facility Directory for this admisison. This is the user who last edited this patient movement entry.

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Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. Personal Sign In. For IEEE to continue sending you helpful information on our products and services, please consent to our updated Privacy Policy. Email Address. Sign In. Global Positioning System GPS can provide the primary means of navigation in a number of aviation navigation applications e.

However, GPS signal deteriorations typically occur due to aircraft itself during maneuvering, ionospheric scintillation, Doppler shift, multipath and so on. But once GPS signal outages, the integrated navigation system works in pure INS, and positioning accuracy deteriorates with time. To provide continuous, accurate and reliable positioning information in aviation, discrete grey prediction model DGPM aided fusion methodology is proposed.

The model works in the update mode when there is no GPS failure, whereas it switches to the prediction mode in case of GPS outages. To verify the feasibility and effectiveness of the proposed methodology, real road test is performed. Article :. DOI: Need Help?

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DGPM 406 PDF

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