首页 | 官方网站   微博 | 高级检索  
     

GNSS接收机加权RAIM算法研究
作者姓名:孔龙涛  王文丽
作者单位:北京遥测技术研究所,北京遥测技术研究所
摘    要:针对接收机使用加权最小二乘定位算法时的故障检测与识别问题,对加权RAIM算法进行了研究。首先,给出了一种卫星权值的计算方法,指出其主要取决于卫星星历误差、电离层延迟误差和对流层延迟误差。然后,通过在构造统计量时加入权值矩阵,得到加权RAIM算法的故障检测和故障识别模型。最后,基于BDS试验数据,对比验证了传统不加权RAIM算法和加权RAIM算法的性能。试验结果表明:故障检测方面,加权RAIM算法的性能与故障卫星的权值有关,而故障识别方面,两种方法性能相同。

关 键 词:加权RAIM  加权最小二乘法  卫星权值  仰角  BDS
收稿时间:2020/7/17 0:00:00
修稿时间:2021/11/19 0:00:00

Research on algorithm of weighted RAIM for GNSS receiver
Authors:KONG Longtao and WANG Wenli
Affiliation:Beijing Research Institute of Telemetry,Beijing Research Institute of Telemetry
Abstract:Aiming at the problem of fault detection and identification when the receiver uses the weighted least squares position solution, a weighted RAIM algorithm is researched. First of all, the expression of satellite weights is introduced. It is pointed out that the satellite weights mainly depend on the satellite ephemeris error, ionosphere and troposphere delay error. Then the fault detection and fault identification model of weighted RAIM is obtained by adding weight matrix when constructing statistics. Finally, based on BDS data, the performance of traditional un-weighted RAIM algorithm and proposed weighted RAIM algorithm is verified by comparison. The test result shows that: in terms of fault detection, the performance of the weighted RAIM algorithm is related to the weight of the faulty satellite, while in fault identification, both methods are the same.
Keywords:Weighted RAIM  Weighted least square method  Satellite weight  Elevation  BDS
点击此处可从《》浏览原始摘要信息
点击此处可从《》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号