基于盒粒子滤波的低成本皮纳卫星高效姿态确定算法

Translated title of the contribution: Computationally Efficient Attitude Determination for Low-Cost Pico-/Nano-Satellites Using Box Particle Filter

Xiao Lei Hou, Cong Zhe Zhang, Yong Liu, Quan Pan, Yi Lan Li

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

In this paper, a box particle filter for attitude determination of low cost pico-/nano-satellites is proposed using interval based satellite attitude and kinematic equations. The proposed approach firstly invokes a three-axis attitude determination algorithm (TRIAD) to calculate the satellite's attitude quaternion, which is then used in the box particle filter (BPF) as the attitude measurement to compress the impact of sensor noise on the estimation accuracy. The simulation study is conducted, and the results demonstrate that compared with the conventional particle filter attitude determination approach, the proposed BPF attitude determination approach significantly reduces the computational time while maintaining the accuracy of attitude determination.

Translated title of the contributionComputationally Efficient Attitude Determination for Low-Cost Pico-/Nano-Satellites Using Box Particle Filter
Original languageChinese (Traditional)
Pages (from-to)1032-1041
Number of pages10
JournalYuhang Xuebao/Journal of Astronautics
Volume41
Issue number8
DOIs
StatePublished - 30 Aug 2020

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