摘要
高频振荡通常会超过星载陀螺和星敏的测量频率范围,导致卫星姿态确定精度下降。因此,提出一种基于常规姿态传感器进行高频姿态确定的方法。将高频姿态抖动看作一个稀疏信号,通过压缩感知的方法将该信号从低频采样结果中恢复。利用低带宽姿态传感器和卡尔曼滤波器测量得到低频姿态数据并进行融合,再通过压缩感知算法从融合数据中恢复出高频姿态数据。通过仿真实验验证了该方法的有效性。
High-frequency attitude vibration usually exceeds the measurement frequency range of spaceborne gyroscopes and star sensors,resulting in a decrease in the accuracy of satellite attitude determination.Thus,a method for high-frequency attitude determination based on the regular attitude sensors was proposed.The key idea is that the high-frequency attitude of the spacecraft was sparse in the frequency domain and can be recovered from the normal-sampling-rate measurements.In this method,the normal-sampling-rate attitude sensors and indirect Kalman filters were used to estimate attitude.The filters'estimation results were merged,and the high-frequency attitude was recovered from the merged data using the compressive sampling algorithm.The effectiveness of the method was verified by simulation experiments.
作者
汪璞
胡祥语
安玮
盛卫东
林再平
曾瑶源
WANG Pu;HU Xiangyu;AN Wei;SHENG Weidong;LIN Zaiping;ZENG Yaoyuan(College of Electronic Science and Technology,National University of Defense Technology,Changsha 410073,China;The PLA Unit 93147,Mianyang 621000,China)
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2022年第4期81-92,共12页
Journal of National University of Defense Technology
基金
国家部委基金资助项目(2021-JCJQ-JJ-0027)。
关键词
高频姿态
低带宽姿态传感器
间接卡尔曼滤波
压缩感知
high-frequency attitude
normal-sampling-rate attitude sensors
indirect Kalman filter
compressive sampling
