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- W2221322802 abstract "This paper presents an integrated navigation system for a guidance and control system of a small UAV The navigation part consists of GPS/INS navigation suits equipped with various MEMS sensors and a small general purpose GPS receiver, which are low cost and have been achieved the miniaturization. Since a state estimation algorithm for feedback control uses highly nonlinear equations, the Unscented Kalman Filter (UKF) which is one of the most well-known, nonlinear and maximum likelihood estimation methods, is expected to perform as an excellent filter. In this research, the possibility of the system's installment with high accuracy is researched using the UKF. The effectiveness of the integrated navigation system will be performed by several simulations, along with a series of experiments." @default.
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- W2221322802 date "2008-11-01" @default.
- W2221322802 modified "2023-09-23" @default.
- W2221322802 title "Integrated Navigation System for Embedded Guidance and Control System of a Small Unmanned Aerial Vehicle" @default.
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