Improved RAIM Algorithm for Identifying Simultaneous Two-faulty Satellites Based on Faulty Feature Plane

WU Yong-ming; LI Kui; L; Uuml

doi:10.3969/j.issn.0372-2112.2016.12.003

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Improved RAIM Algorithm for Identifying Simultaneous Two-faulty Satellites Based on Faulty Feature Plane

更新时间：2025-07-16

- Improved RAIM Algorithm for Identifying Simultaneous Two-faulty Satellites Based on Faulty Feature Plane
- Acta Electronica Sinica Vol. 44, Issue 12, Pages: 2829-2833(2016)
- 作者机构：
  
  1. 北京航空航天大学仪器科学与光电工程学院,北京,100191
  2. 北京航空航天大学电子信息工程学院,北京,100191
  3. 北京航空航天大学仪器科学与光电工程学院,北京,100191
  4. 北京航空航天大学电子信息工程学院,北京,100191
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.L142200032);China's Engineering Science and Technology Medium-term and Long-term Development Strategy Research Fund (No.2014zcq01)
- DOI：10.3969/j.issn.0372-2112.2016.12.003
  CLC： V474.2TN967.1
- Published Online：25 December 2016，
  
  Published：2016
- 稿件说明：
移动端阅览
WU Yong-ming, LI Kui, L, et al. Improved RAIM Algorithm for Identifying Simultaneous Two-faulty Satellites Based on Faulty Feature Plane[J]. Acta Electronica Sinica, 2016, 44(12): 2829-2833.
DOI：

WU Yong-ming, LI Kui, L, et al. Improved RAIM Algorithm for Identifying Simultaneous Two-faulty Satellites Based on Faulty Feature Plane[J]. Acta Electronica Sinica, 2016, 44(12): 2829-2833. DOI： 10.3969/j.issn.0372-2112.2016.12.003.

摘要

针对基于识别门限的奇偶矢量法等双星故障识别算法存在较大误警率、漏检率以及故障偏差抵消致使双星故障正确识别率较低的问题，提出了一种改进的用于双星故障识别的接收机自主完好性监测算法.在奇偶矢量法的基础上，构造故障特征平面和改进奇偶矢量，分析二者之间的几何特征与卫星故障的关系，并设计相应算法识别故障卫星.该算法不受识别门限的影响，避免了由识别门限引起的识别率较低的不足.半物理仿真结果显示：改进后的算法故障识别率达到90%以上，与直接利用奇偶矢量法相比，可以显著提高双星故障识别率.

Abstract

Traditionally

the receiver autonomous integrity monitoring (RAIM) algorithm such as parity vector method for identifying two-faulty satellites based on identification threshold led to not only higher missed detection rate but also higher false alarm rate and fault counteraction

which decreased the correct identifying ratio.Therefore

an improved RAIM algorithm was proposed.On the basis of parity vector method

the improved algorithm constructed a faulty feature plane

and faulty satellites were identified by the geometry relationships between the plane and the proposed parity vector.These made the algorithm immune to the problem of high identifying threshold and improved the identifying ratio.Semi-physical simulation results indicated that the correct identifying ratio of the proposed algorithm reached 90%

and the performance was improved compared with the traditional algorithm.

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