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- W2911684682 abstract "There are five basic forms of navigation: pilotage; dead reckoning; celestial navigation; radio navigation; and inertial navigation. This chapter is about applications of Kalman filtering in solving the navigation problem, and especially combinations of the last two methods in the list above. The development of low cost receivers for global navigation satellite systems (GNSS) and low cost micro-electro-mechanical systems (MEMS) technologies for inertial navigation systems (INS) have revolutionized the potential cost/performance ratios for high accuracy navigation. The focus of the chapter is on the design and implementation of Kalman filters for these applications, including design of models used with the associated Riccati equations for predicting the performance of potential sensor system designs. These include examples of Kalman filter models for GNSS and INS errors, and practical Kalman filter implementation architectures for integrated navigation solutions." @default.
- W2911684682 created "2019-02-21" @default.
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- W2911684682 date "2014-11-21" @default.
- W2911684682 modified "2023-09-23" @default.
- W2911684682 title "Applications to Navigation" @default.
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- W2911684682 doi "https://doi.org/10.1002/9781118984987.ch10" @default.
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