基于Kalman滤波的改进钟差模型辅助RAIM算法  

Kalman Filter Based on the Improvement of the Auxiliary Model RAIM

作　　者：卢超[1] 卢艳娥[1] 张业旺[1] 

机构地区：[1]空军工程大学电讯工程学院,西安710077

出　　处：《科学技术与工程》2012年第20期4867-4871,共5页Science Technology and Engineering

基　　金：国家自然科学基金(61071014);学院科研创新基金(DYCX1002)资助

摘　　要：为了提高完好性监视结果的可信度,现采用Kalman滤波建立新的接收机钟差预测模型。利用该模型的钟差预测值辅助进行自主完好性监测(RAIM)。利用GPS实测数据进行分析验证,结果表明这种新模型辅助相对于原模型辅助,改善了卫星的几何分布和钟差预测的精度,提高了RAIM的可用性,降低了能检测到的最小故障偏差。In order to improve the reliability of integrity monitoring, Kalman filtering is adopted to build up a new receiver clock correction forecasting model and used the forecasted clock correction to assist the independent reliability testing. Doing check analysis based on the GPS field test data, results show that compared this kind of auxiliary model with the original one, the new one improved the geometric distribution and forecast accuracy of the satellite as improved the applicability of RAIM, and lower the minimum detectable fault deviation.

关 键 词：KALMAN滤波 RAIM 钟差模型 

分 类 号：P228.4[天文地球—大地测量学与测量工程]