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Multi-dimensional fault detection and identification method

An identification method and identification algorithm technology, which is applied in the direction of measuring devices, radio wave measurement systems, satellite radio beacon positioning systems, etc., can solve problems that need to be improved, identification accuracy and efficiency are not ideal, and achieve high fault identification accuracy and recognition efficiency, improving integrity and reliability

Pending Publication Date: 2020-08-28
BEIHANG UNIV
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Problems solved by technology

However, the conventional RAIM algorithm is mainly proposed under the assumption of a single fault, and it has a better effect when there is a single fault in the system; but when there are multiple faults in the system at the same time, although the conventional RAIM algorithm can also detect and identify faults, the The recognition accuracy and efficiency are not ideal and need to be improved

Method used

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  • Multi-dimensional fault detection and identification method

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Embodiment

[0096] In order to test the performance of the multidimensional fault detection and identification method, respectively based on single-system GPS, single-system BDS and GPS / BDS combined system observation data, by simulating different numbers of faulty satellites, and adopting data detection method, correlation coefficient method and the present invention respectively The proposed multi-dimensional fault detection and identification method recognizes faults.

[0097] Table 1 shows the performance comparison of the three fault identification methods

[0098] Table 1 Performance comparison of three fault identification methods

[0099]

[0100] Recognition accuracy rate:

[0101] From Figure 4 And in Table 1, it can be seen that for single-system GPS, when there are 2 faulty satellites, the correct recognition rate of faults using the method provided by the present invention is better than 99%, compared with the correlation coefficient method and the data detection method...

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Abstract

The invention discloses a multi-dimensional fault detection and recognition method, wherein the method comprises the following steps: S1, constructing a fault detection statistic, and carrying out thedetection of a fault based on chi-square detection; S2, when a fault is detected, constructing a fault set by fusing identification results of a data detection method and a correlation coefficient method; and S3, identifying and eliminating faults according to the fault set. Two typical RAIM algorithms of a data detection method and a correlation analysis method are fused to identify and processa fault. Under the condition of multi-dimensional faults, compared with independently adopted two RAIM algorithms of the data detection method and the correlation analysis method, the method has higher fault recognition accuracy and recognition efficiency, and the integrity and reliability of a satellite navigation system can be further improved.

Description

technical field [0001] The invention relates to the technical field of satellite navigation system integrity monitoring, and more specifically relates to a multi-dimensional fault detection and identification method. Background technique [0002] In the global satellite navigation system, satellite signals are extremely susceptible to interference from the surrounding environment and human factors, making it difficult to guarantee positioning accuracy and reliability. However, the reliability of the navigation system is very important in the field of security applications. The integrity service can send a warning to the user in time when the navigation system cannot provide the navigation and positioning service that meets the requirements. Receiver autonomous integrity monitoring is a common method to provide integrity services, which mainly includes the detection and identification of system faults. However, the conventional RAIM algorithm is mainly proposed under the ass...

Claims

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Application Information

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IPC IPC(8): G01S19/20
CPCG01S19/20
Inventor 赵龙张且且
Owner BEIHANG UNIV
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