【摘要】 传统的接收机自主完好性监测(receiver autonomous integrity monitoring, RAIM)算法基于最小二乘残差法进行故障检测和识别，由于最小二乘残差法存在系数矩阵病态的问题，可能出现漏排、错排现象。据此，提出一种基于内符合精度改进的RAIM方法。该方法在原有故障检测基础上引入卫星定位内符合精度检验门限，并对传统的故障探测法进行改进，以降低故障漏检率，提高故障识别率。实验结果表明，改进的方法可以在不影响系统完好性算法可用性的情况下有效降低漏检率，高效地识别出故障卫星。相较于两组实验数据中传统算法4.66%和1.95%的漏检率，改进算法可以将漏检率分别降低至2.21%和0.81%。更多还原

【Abstract】 The traditional receiver autonomous integrity monitoring(RAIM) algorithm carries out fault detection and identification based on least squares residuals method. Due to the ill-conditioned coefficient matrix problem of least squares residuals method, it may lead to missed detection and missed exclusion. Therefore, we propose an improved RAIM method based on internal coincidence accuracy. Based on the original fault detection method, this method introduces the test threshold of satellite positioning internal coincidence accuracy, and improves the traditional fault detection method to reduce the missed detection rate and improve the fault identification rate. The experimental results show that the improved method can effectively reduce the missed detection rate and efficiently identify faulty satellites without affecting the availability of system integrity algorithms. Compared to the missed detection rate of 4.66% and 1.95% of the traditional algorithm in this experiment, the improved algorithm can reduce the missed detection rate to 2.21% and 0.81%.更多还原