时钟改进模型辅助RAIM算法研究

Research on Receiver Autonomous Integrity Monitoring Augmented with Improved Clock Bias Model

提出采用“滑动窗”方式建立参数实时更新的接收机钟差改进模型,把基于该模型的钟差预测值引入到卫星导航中辅助进行自主完好性监测(RAIM).文中给出了相关流程图,并提出新的预测误差计算方法.基于GPS实测数据的验证分析表明,这种方法不仅可以提高RAIM算法的可用性,而且可以提高故障检测和识别效率,可检测的最小故障偏差从50米降到40米,可完全检测和识别的最小故障偏差从70米降到60米,并且系统的其它性能指标也有明显改善.

The paper presents an improved receiver clock bias forecast model. The model built with ＂coasting window＂ method,holds the real-lime refresh parameters. The extrapolated future clock bias is used to augment RAIM performance.Relevant flow charts and a new algorithm for forecasting error are introduced. The data analysis proves that this method not only increases availability of RAIM,but improves the rates of fault detection and identification.The minimum fault that can be detected decreases from 50 meters to 40 meters; and the minimum fault that can be detected and identified completely dropped from 70 meters to 60 meters.