摘要
针对RAIM算法在可见卫星数较少时可用性不足的问题,根据AAIM算法的特性,引入航空器气压式高度表数据作为外部数据,提出一种基于多解分离的AAIM算法。通过利用全球导航卫星系统和气压式高度表的数据信息,建立组合观测模型,同时采用递推最小二乘法及权重矩阵迭代优化的方法,在位置精度和完好性之间进行折中以得到垂直保护阈值的最优解。结果表明:算法所得最优VPL值相较于优化前减少了15.5 m,相当于传统RAIM算法的59.26%,在可见卫星数量为5颗时,波动范围控制在了2.74%~12.32%,有效保证了在单星座且可见卫星数量少的恶劣观测情况下的完好性监视。
To address the problem of insufficient availability of the RAIM algorithm when the number of visible satellites is small,a multi solution separation based AAIM algorithm is proposed based on the characteristics of the AAIM algorithm and the introduction of aircraft barometric altimeter data as external data.By using the data information of GNSS and barometric altimeter,a combined observation model is established,and the recursive least squares method and iterative optimization of the weight matrix are used to compromise between position accuracy and integrity to obtain the optimal solution of the vertical protection threshold.The results show that the optimal VPL value obtained by the proposed algorithm is reduced by 15.5m compared with that before optimization,which is equivalent to 59.26%of the traditional RAIM algorithm,and the fluctuation range is controlled from 2.74%to 12.32%when the number of visible satellites is 5,which effectively ensures the integrity monitoring under the poor observation situation with a single constellation and a small number of visible satellites.
作者
杨姝
王一桦
YANG Shu;WANG Yi-hua(Civil Aviation Flight University of China,Guanghan 618000,China)
出处
《航空计算技术》
2023年第4期1-5,共5页
Aeronautical Computing Technique
基金
民航飞行技术与飞行安全科研基地项目资助(F2019KF01)。
