Fault detection and isolation for GNSS/SINS integrated navigation system based on MSS and PNN

被引：0

作者：

Li, Peiran ^{[1
]}

Liu, Haiying ^{[1
]}

Wen, Xin ^{[1
]}

Lu, Yuping ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Nanjing 210016, Peoples R China

来源：

2018 IEEE CSAA GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC) | 2018年

关键词：

Fault detection and isolation; Probabilistic Neural Network; Multiple Solution Separation; GNSS; SINS; MODELS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper present a fault detection and isolation method for GNSS/SINS integrated navigation system based on MSS (Multiple Solution Separation) and PNN (Probability Neural Network). The method can also be well applied in the field of general aviation aircraft. Firstly the GNSS/SINS tightly integrated navigation system is designed. Based on the model, the principles and methods of MSS used for fault detection are deduced. Then the fault isolation method using PNN are analyzed too. Lastly, by establishing a simulation system, the analysis and availability for the method are verified.

引用

页数：6

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