应用遗传算法的多星座保护级别优化方法

增强型接收机自主完好性监测算法（ARAIM）能够在精密进近段为飞行器提供完好性保护。针对提高ARAIM算法在中国地区可用性的优化问题，提出一种基于遗传算法的垂直方向保护级别（VPL）优化方法。该方法在理论层面对VPL方程进行推导，将最大值函数最小化问题转化为目标规划求最优问题，利用遗传算法的寻优特性避免了优化中奇异点的出现，通过优化分配连续性风险和完好性风险，实现了对VPL值的优化。为了验证该优化方法的有效性，利用跟踪站采集到的GPS、GLONASS和BDS 3个导航系统播报的真实卫星星历数据，对VPL值进行了分析，分析结果表明该方法的平均优化率达到9.9%。 

Multi-Constellation Protection Level Optimization Method Using Genetic Algorithm

Advanced receiver autonomous integrity monitoring (ARAIM) algorithm can provide constellation integrity protection for a vehicle in a precision approach segment. To improve the availability of ARAIM in China, a vertical protection level (VPL) optimization method based on genetic algorithm was proposed. This method deduced the maximum function minimization problem into the optimal problem of target planning at the theoretical level. To avoid singular values, genetic algorithm was used to solve the optimization equation, and the VPL value was optimized by optimally assigning continuity risk and integrity risk. In order to verify the effectiveness of the optimization method, the VPL was calculated by using the satellite ephemeris data of GPS, GLONASS and BDS collected in the tracking station. The results show that the average optimization rate of the proposed method is 9.9%.