Abstract
Fault detection can ensure the safe operation of airborne ocean radar. In order to improve the fault detection performance of airborne ocean radar, the design and improvement of the fault detection algorithm for airborne ocean radar is proposed. Based on the current and voltage values of stable operation, the fault area is determined. The fault information is decomposed by wavelet transform, the fault information is reconstructed, and the fault location is determined. Through the preprocessing of the fault data, the feature matching degree of the fault data is defined, and the features of the fault data are extracted by using the information state function of the fault data. Calculate the average trajectory of the observation vector of the operating state, and combine the operating trajectories of the fault data variables at different times to detect the faults of airborne ocean radar. The experimental results show that the algorithm in this paper has certain effectiveness in detecting the faults of airborne ocean radar, and has better performance in terms of missed detection rate, false detection rate and signal-to-noise ratio of fault signal acquisition.
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2020 Teaching Research Project of Wuhan Institute of Design and Sciences: Case based “linear algebra” Hybrid Teaching Research and Practice (Project No.: 2020JY101).
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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Pang, L. (2024). Design and Improvement of Airborne Ocean Radar Fault Detection Algorithm. In: Yun, L., Han, J., Han, Y. (eds) Advanced Hybrid Information Processing. ADHIP 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 548. Springer, Cham. https://doi.org/10.1007/978-3-031-50546-1_8
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DOI: https://doi.org/10.1007/978-3-031-50546-1_8
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