Pipeline Gaussian Particle Filter and Hardware Design for Attitude Estimation with UAV

Mathematical Problems in Engineering

Jiahui Wang¹  Hu Chen¹  Jie Chen¹  Yali Xue¹ 

[1] College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China, nuaa.edu.cn;

DOI  :  10.1155/2020/7092526

来源: Hindawi Publishing Corporation

【 摘 要 】

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 have illustrated that the GPF algorithm is effective and has better real-time performance than that of the particle filter.

【 授权许可】

CC BY