摘要
先进接收机自主完好性监测(ARAIM)技术是一种成本低、自主性强的完好性监测方法。针对基础ARAIM算法将完好性风险和连续性风险采用平均分配导致计算的保护级数值过于保守的问题,文章提出一种基于风险优化分配的保护级计算方法。该方法在理论层面对保护级计算方程进行推导,将最大值最小化问题转化为非线性约束优化问题,实现完好性风险和连续性风险的合理分配,从而提高ARAIM的可用性。基于测站数据的MATLAB的fmincon非线性规划求解器求解的结果表明,BDS+GPS系统的水平保护级(HPL)和垂直保护级(VPL)的平均优化率为50.61%和46.88%。基于软件接收机的ARAIM算法平台使用BDS和GPS历书的仿真实验结果表明,BDS+GPS系统的ARAIM全球可用性大于99.5%的覆盖范围由85.53%增加到了97.37%,提升了11.84%。
The integrity of satellite navigation systems is attracting increasing attention in the safety-critical applications,such as civil aviation.Advanced receiver autonomous integrity monitoring(ARAIM)is a low-cost,highly autonomous integrity monitoring method.This paper proposes a method of calculating the protection level based on the optimal allocation of risks,in order to solve the problem that the integrity risk and continuity risk are equally allocated,which results in a conservative calculation of the protection level in the baseline ARAIM algorithm.In this method,the equations for protection level calculation are de-rived at the theoretical level,and the maximum value minimization problem is transformed into an nonlin-ear constrained optimization problem to achieve a reasonable allocation of intactness and continuity risks,which increases the availability of ARAIM.Experimental results of the station data show that the average optimization rates of the horizontal protection level(HPL)and vertical protection level(VPL)for the BDS+GPS system are 50.61%and 46.88%,and the coverage of the BDS+GPS system with an ARAIM global availability greater than 99.5%increases from 85.53%to 97.37%,which is an improvement of 11.84%.
作者
邓思瑜
孙蕊
DENG Siyu;SUN Rui(Key Laboratory of Maritime Intelligent Cyberspace Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 211106 China;State Key Laboratory of Air Traffic Management System,Nanjing University of Aeronautics and Astronautics,Nanjing 211106 China)
出处
《西华大学学报（自然科学版）》
CAS
2024年第6期63-70,共8页
Journal of Xihua University:Natural Science Edition
基金
国家自然科学基金(41974033、42174025、42222401)
工信部民用飞机专项科研项目(MJ-2020-S-03)
江苏省“六大人才高峰”项目(KTHY-014)
江苏省自然科学基金(BK20211569)
中央高校基本科研业务费专项资金(xcxjh20220722)。
