An adaptive noise variance based fault detection algorithm for GNSS positioning

被引：0
|
作者：
Chen H. [1 ]
Sun R. [1 ]
Qiu M. [1 ]
Mao J. [2 ]
Hu H. [2 ]
Zhang L. [2 ]
机构：
[1] College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing
[2] Laboratory of ATM Avionics Technology, China Aeronautical Radio Electronics Research Institute, Shanghai
来源：
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2023年 / 49卷 / 02期
基金：
欧盟地平线“2020”; 中国国家自然科学基金;
关键词：
adaptive filter; fault detection; global navigation satellite system; global navigation satellite system quality control; Kalman filter;
D O I：
10.13700/j.bh.1001-5965.2021.0222
中图分类号：
学科分类号：
摘要：
As actual observation noises vary in different environments, the fixed noise variance matrix may degrade the performance of the Kalman filter (KF)-based fault detection method. To deal with this issue, we proposed an adaptive noise variance-based fault detection algorithm. Its fault detection and identification statistics are generated based on the real-time observation noise variance matrix estimated from historical innovations with a sliding window. The innovation without faults will then be used to update the state vector for positioning solutions. Both static and dynamic modes have been tested in the experiment. In the static mode, the proposed algorithm can provide a 100% fault detection rate (FDR) and fault identification rate (FIR) of the minimum single-step error of 3 m, and the FIR for the 0.2 m/s ramp error of 100 s is 51.4%. In addition, it can provide a 100% FDR and FIR of the minimum multiple error of 4 m. In the dynamic mode, the suggested algorithm can deliver a 100% FDR and FIR of the minimum single-step error of 10 m, and a 66.25% FIR for the 0.2 m/s ramp error of 200 s. In addition, it can provide a 100% FDR and FIR of the minimum multiple-error of 12 m. Its performance is superior to the least square residual-based method and the KF-based fault detection method. © 2023 Beijing University of Aeronautics and Astronautics (BUAA). All rights reserved.
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页码：406 / 421
页数：15
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