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23 August 2023 Research on communication signal waveform technology of aerospace telemetry track and command network based on polynomial regression
Chong Hu, Luyong Zhang
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Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 1278437 (2023) https://doi.org/10.1117/12.2691888
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China
Abstract
In recent years, due to the development of communication measurement and control technology and the rise of artificial intelligence technology, the construction of intelligence and informatization has become the main direction of China's wireless communication application field in the future. However, due to the increasingly scarce spectrum resources, the interference in the communication environment is complex and changeable. With the development of technology, artificial intelligence uses a large number of structured data mining methods to fit nonlinear information systems. This paper considers the relationship between communication signal waveform parameters and environmental SNR and bit error rate in aerospace measurement and control scenarios, and proposes to use polynomial regression algorithm to build an adaptive parameter learning model, while using the grid search hyperparameter optimization method to find the optimal combination of hyperparameters.
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Chong Hu and Luyong Zhang "Research on communication signal waveform technology of aerospace telemetry track and command network based on polynomial regression", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 1278437 (23 August 2023); https://doi.org/10.1117/12.2691888
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KEYWORDS
Telecommunications
Artificial intelligence
Machine learning
Linear regression
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