复杂环境下奇偶矢量RAIM算法的故障检测性能研究

摘要

Aiming at researching the problem that the fault detection ability of system is unstable when the number of visual satellites changing in complex environment, the fault detection ability under different amounts of visual satellites is analyzed through the parity vector RAIM algorithm, in terms of the probability density function (PDF) in normal and fault condition, missed detection rate, alarm time statistics, alarm success rate and positioning error. Analysis results can draw a conclusion that as the number of visual satellites increasing, the system’s sensitivity to fault will decline, the alarm time will increase and the positioning error will relatively decrease.%针对复杂环境下卫星导航系统可见卫星数目变化引起系统故障检测性能不稳定的问题，采用奇偶矢量 RAIM算法，综合考虑概率密度分布、漏检率、告警时间、告警成功率及定位误差等因素，对不同可见卫星数条件下的故障检测性能进行分析，通过仿真实验得出结论：随着可见卫星数的增加，系统对故障的敏感程度下降，告警时间变长，告警成功率下降，定位误差相对减小。