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Pipeline Gaussian Particle Filter and Hardware Design for Attitude Estimation with UAV
2020
Mathematical Problems in Engineering
This paper based on the Gaussian particle filter (GPF) deals with the attitude estimation of UAV. GPF algorithm has better estimation accuracy than the general nonlinear non-Gaussian state estimation and is usually used to improve the system's real-time performance whose noise is specific such as Gaussian noise during the mini UAV positioning and navigation. The attitude estimation algorithm is implemented on FPGA to verify the effectiveness of the Gaussian particle filter. Simulation results
doi:10.1155/2020/7092526
fatcat:nnlpjvk67rf7jdyrdtcjwvq6fy