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| Guidance Precision Fusion Evaluation Based on Multi-source Data‘s Credibility |
| CHEN Xuan1，LI Qi 2，LI Bowen 1，XIAO Yike 1，YAN Liang 1 |
1.College of Liberal Arts and Sciences, National University of Defense Technology, Changsha 410073, Hunan, China；
2.Shanghai ElectroMechanical Engineering Institute, Shanghai 201109, China |
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Abstract Aiming at the guidance precision assessment from multi-source testing data, this paper proposes a fusion evaluation method based on compound credibility, which combines data analysis and physical mechanism, relies on data compatibility test and physical mechanism to convert error results, and calculates the compound credibility corresponding to the equivalent test converted sample data. On this basis, the Bayes method is used for weighted fusion evaluation. The simulation results show that the multisource data fusion evaluation result that introduces compound credibility is more robust than the evaluation conclusion using only the field prototype test data, and to a certain extent, it reduces the influence of low credibility prior information, which is reasonable and useful.
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Received: 10 October 2020
Published: 29 December 2020
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2020, Vol. 3 
