Abstract
Focused on random delay and data loss caused by network induced features from the data acquisition application scenario, a novel particle filtering data acquisition algorithm integrating random time delay and data loss compensation is proposed. In this paper, we propose a ramp signal arrival time difference to measure the network delay. A hybrid compensation method is used to correct the missing data. Finally, the particle filter state estimator is used to get more accurate data. Results show that we adopt a low measurement error and a good performance on data acquisition compared with the existing data acquisition method.
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Hu, C., Zhu, X. (2021). A Novel Particle Filtering Data Acquisition Algorithm Integrating Random Time-lag and Packet Loss Compensation. In: Hassanien, AE., Chang, KC., Mincong, T. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2021. Advances in Intelligent Systems and Computing, vol 1339. Springer, Cham. https://doi.org/10.1007/978-3-030-69717-4_95
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DOI: https://doi.org/10.1007/978-3-030-69717-4_95
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