摘要
为了解决微纳卫星编队执行姿态机动任务时,差分定位性能降低甚至不能定位的问题,提出基于全视角天线组件的GPS接收和差分定位系统方案.针对星载高动态环境,改进基于几何无关(GF)差分组合和衰减窗口的伪距粗差探测方法.采用抗差自适应扩展卡尔曼滤波算法,将基于新息向量的观测噪声协方差矩阵开窗估计法应用于实时差分定位.建立半物理仿真平台,开展不同场景下的差分定位性能对比验证.结果表明,在全弧段侧摆与区间“侧摆-回正”机动条件下,所提出的基于全视角方案的滤波和估计算法相比于常规方案的扩展卡尔曼滤波(EKF)算法在定位星数、定位精度上均有大幅提升,在短、长基线情况下分别可以达到厘米、分米级的相对定位精度.
A solution consisting of a GPS receiver and a differential positioning system with a full-view antenna assembly was proposed,to solve the problem of diminished or even non-functional positioning performance during attitude maneuvering tasks conducted by micro-nano satellites formations.In the context of spaceborne highdynamic environments,improvements were made to the pseudorange gross error detection method based on geometry free(GF)differential combination and attenuation window.With the help of robust adaptive extended Kalman filtering algorithm,the open-window estimation method of the observed noise covariance matrix based on the innovation vector was applied to the real-time difference algorithm.Comparative validation in different scenarios was carried out upon a semi-physical simulation platform,and the results demonstrate that the proposed filtering and estimation algorithm based on the full-view scheme has a substantial increase in the number of satellite-used and positioning accuracy compared with the extended Kalmen filter(EKF)algorithm of the conventional scheme in fullarc side-swing and interval"side-swing-return"maneuvers.In short and long baseline cases,centimeter and decimeter level relative positioning accuracy can be achieved.
作者
王昊泽
金小军
侯聪
周立山
徐兆斌
金仲和
WANG Hao-ze;JIN Xiao-jun;HOU Cong;ZHOU Li-shan;XU Zhao-bin;JIN Zhong-he(Micro-satellite Research Center,Zhejiang University,Hangzhou 310027,China)
出处
《浙江大学学报（工学版）》
EI
CAS
CSCD
北大核心
2023年第11期2325-2336,共12页
Journal of Zhejiang University：Engineering Science
基金
国家自然科学基金资助项目(62073289).
