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• W2766313624 abstract "This paper addresses the problem of plug and play measurement fusion for integrated navigation system using nonlinear optimization method. We refer to multi-sensor fusion estimation as a sequential, weighted least squares problem. Using fluid re-linearization and partial state updates strategies to reduce computational burden, we propose a low cost nonlinear optimization algorithm. This algorithm not only processes multirate and asynchronous sensor data, but also provides a natural way to incorporate a new sensor or an ad hoc signal into the system. The proposed multi-sensor fusion estimation algorithm has been successfully implemented in integrated navigation with inertial measurement unit, global position system and star sensor." @default.
• W2766313624 created "2017-11-10" @default.
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• W2766313624 date "2017-05-01" @default.
• W2766313624 modified "2023-09-27" @default.
• W2766313624 title "Plug-and-play measurement fusion method for integrated navigation system using low-cost nonlinear optimization" @default.
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• W2766313624 doi "https://doi.org/10.1109/cpgps.2017.8075098" @default.
• W2766313624 hasPublicationYear "2017" @default.
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