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Research on ELoran Demodulation Algorithm Based on Multiclass Support Vector Machine

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Publicado en:Remote Sensing vol. 16, no. 17 (2024), p. 3349
Autor principal: Liu, Shiyao
Otros Autores: Baorong Yan, Guo, Wei, Yu, Hua, Zhang, Shougang, Lu, Jun, Xu, Lu, Yang, Dong
Publicado:
MDPI AG
Materias:
Receivers & amplifiers
Machine learning
Back up systems
Accuracy
Decoding
Error correction & detection
Support vector machines
Pulse position modulation
Signal processing
Algorithms
Codes
Information processing
Demodulation
Acceso en línea:Citation/Abstract
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Resumen:Demodulation and decoding are pivotal for the eLoran system’s timing and information transmission capabilities. This paper proposes a novel demodulation algorithm leveraging a multiclass support vector machine (MSVM) for pulse position modulation (PPM) of eLoran signals. Firstly, the existing demodulation method based on envelope phase detection (EPD) technology is reviewed, highlighting its limitations. Secondly, a detailed exposition of the MSVM algorithm is presented, demonstrating its theoretical foundations and comparative advantages over the traditional method and several other methods proposed in this study. Subsequently, through comprehensive experiments, the algorithm parameters are optimized, and the parallel comparison of different demodulation methods is carried out in various complex environments. The test results show that the MSVM algorithm is significantly superior to traditional methods and other kinds of machine learning algorithms in demodulation accuracy and stability, particularly in high-noise and -interference scenarios. This innovative algorithm not only broadens the design approach for eLoran receivers but also fully meets the high-precision timing service requirements of the eLoran system.
ISSN:2072-4292
DOI:10.3390/rs16173349
Fuente:Advanced Technologies & Aerospace Database