基于子集包含减少ARAIM子集数量的方法

先进接收机自主完好性监测（ARAIM）技术可用于多星座组合定位时的完好性监测，ARAIM技术子组推荐的多假设分离解（MHSS）标准算法，存在子集数量过多带来大量计算负载的问题。针对此问题，在双星座组合定位情景下，通过分析子集之间的包含关系及空间位置精度因子（PDOP）的变化，提出了使用一个子集代替多个子集减少子集数量的方法。所提方法可以明显地减少子集数量，不同参数下的仿真结果表明，优化后的算法效率至少提高2倍以上，并且优化前后的ARAIM可用性变化最大不超过3%。 

Method for reducing number of ARAIM subsets based on subset inclusion

Advanced Receiver Autonomous Integrity Monitoring (ARAIM) technology can be used for integrity monitoring in multi-constellation combination positioning. The Multi-Hypothesis Separation Solution (MHSS) standard algorithm, recommended by the ARAIM technology subgroup, may produce lots of subsets to bring heavy computational load. Aimed at this problem, in the dual-constellation combined positioning scenario, by analyzing the inclusion relationship between subsets and the change of Position Dilution of Precision (PDOP), a method of reducing the number of subsets by using one subset to replace multiple subsets is proposed. This method can significantly reduce the number of subsets. The simulation results under different parameters show that the efficiency of the optimized algorithm is at least tripled, and the maximum ARAIM availability difference before and after optimization is no more than 3%.