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• W2937642241 abstract "Inertial navigation allows tracking and updating the position and orientation of a moving object based on accelerometer and gyroscope data without external positioning aid, such as GPS. Therefore, inertial navigation is an essential technique for, e.g., indoor positioning. As inertial navigation is based on integration of acceleration vector components, computation errors accumulate and make the position and orientation estimate drift. Even though maximum computation precision is desired, also efficiency needs consideration in the age of Internet-of-Things, to enable deployment of inertial navigation based applications to the smallest devices. This work formulates the Direction Cosine Matrix update algorithm, a central component for inertial navigation, in fixed-point and analyzes its precision and computation load compared to a regular floating-point implementation. The results show that the fixed-point version maintains very high precision, while requiring no floating point hardware for operation. The paper presents execution time results on three very different embedded processors." @default.
• W2937642241 created "2019-04-25" @default.
• W2937642241 creator A5034327745 @default.
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• W2937642241 date "2019-05-01" @default.
• W2937642241 modified "2023-09-30" @default.
• W2937642241 title "The Direction Cosine Matrix Algorithm in Fixed-point: Implementation and Analysis" @default.
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• W2937642241 doi "https://doi.org/10.1109/icassp.2019.8683644" @default.
• W2937642241 hasPublicationYear "2019" @default.
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