Aiming at the problem of insufficient availability in the satellite receiver autonomous integrity monitoring (RAIM) method, an improved aircraft autonomous integrity monitoring (AAIM) method aided by barometric altimeter based on weight optimization is proposed under the actual configuration of the airborne navigation system. The information of satellite navigation system and barometric altimeter is used to establish the observation equation of the integrated system. The algorithm for integrity monitoring and protection-level calculation is derived based on multiple solution separation, and a weight optimization is adopted to achieve a trade-off between position accuracy and integrity, which can improve the availability of AAIM method. The simulation experiment shows that when the number of visible stars is 5, the traditional method cannot effectively detect the satellite fault, and the positioning error is 43.65 m. The improved algorithm can effectively isolate the fault and reduce the positioning error to 0.37 m. Compared with the traditional RAIM algorithm and the Baro-aided AAIM algorithm, the proposed algorithm has a lower vertical protection threshold. Therefore, the algorithm in this paper improves the performance of satellite navigation system integrity monitoring and ensure the accuracy and reliability of the satellite navigation system.

中文翻译：

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气压高度计辅助的改进权重优化 AAIM 方法

针对卫星接收机自主完整性监测（RAIM）方法可用性不足的问题，在机载导航系统的实际配置下，提出了一种基于权重优化的气压高度计辅助的改进型飞机自主完整性监测（AAIM）方法。利用卫星导航系统和气压高度计的信息建立综合系统的观测方程。基于多解分离推导出完整性监控和保护级别计算算法，并通过权重优化实现位置精度和完整性之间的权衡，提高了AAIM方法的可用性。模拟实验表明，当可见星数为5时，传统方法无法有效检测卫星故障，定位误差为43.65 m。改进后的算法可以有效隔离故障，将定位误差降低到0.37 m。与传统的RAIM算法和Baro-aided AAIM算法相比，该算法具有更低的垂直保护阈值。因此，本文算法提高了卫星导航系统完整性监测的性能，保证了卫星导航系统的准确性和可靠性。所提出的算法具有较低的垂直保护阈值。因此，本文算法提高了卫星导航系统完整性监测的性能，保证了卫星导航系统的准确性和可靠性。所提出的算法具有较低的垂直保护阈值。因此，本文算法提高了卫星导航系统完整性监测的性能，保证了卫星导航系统的准确性和可靠性。