ARCHITECTURE FOR FILTER ALGORITHM IN GPS/INS INTEGRATION | ||||
International Conference on Aerospace Sciences and Aviation Technology | ||||
Article 98, Volume 12, ASAT Conference, 29-31 May 2007, May 2007, Page 1-24 PDF (776.37 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/asat.2007.24106 | ||||
View on SCiNiTO | ||||
Authors | ||||
Ahmed Azouz; Ahmed E. Abdalla | ||||
Egyptian Armed Forces. | ||||
Abstract | ||||
An inertial navigation system (INS) exhibits relatively low noise but tends to drift ov time. In contrast, Global Positioning System (GPS) errors are relatively noisy, b exhibit no long-term drift. Integrated INS/GPS navigation systems provide the best both worlds: the low short term noise characteristics of INS and the long term stabi of GPS are combined to provide a navigation solution with accuracy, reliability a robustness far beyond the sum of the constituent parts. However, in order to fu evaluate the performance of an integrated INS/GPS system, it is necessary stimulate both the GPS and inertial components of the system simultaneously. In the paper, the architectures for common filter algorithms in GPS/INS loose integrati are presented. The error dynamics for attitude calculation are derived. Algorithm based on quaternions and direction cosines are used. Simulation results a analyzed to evaluate the different systems. This system evaluation are required help to create specification data; to aid integration algorithm design and tuning; determine if the receiver meets a given specification; to create conditions beyo those which can be created during live trials; and to recreate a known anomaly which occurred in the real world. | ||||
Keywords | ||||
Inertial navigation system; inertial measurement unit; Global Positioning Systems Loose integration; Direction Cosines Matrix; Skew-symmetric matrix; and Quaternions | ||||
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