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1090ES ADS-B Overlapped Signal Separation Research Based on Infomax Extension

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Abstract

1090ES ADS-B is a new technology in civil aviation, mainly used to monitor dynamic condition of aircrafts and share the flight information. However, the ADS-B signals are often interfered with other overlapped signals during the signal transmission, causing signal overlap and bringing difficulties to signal processing afterwards. This article applies Blind Source Separation (BSS) into the separation process of ADS-B overlapped signals and constructs the ADS-B overlapped signal separation model using Infomax algorithm, in order to separate ADS-B overlapped signals into single-way ADS-B signals and improve signal decoding rate.

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References

  1. Bell, A.J., Sejnowski, T.J.: An information maximization approach to blind separation and blind deconvolution. Neural Comput. 7(6), 1129–1159 (1995)

    Article  Google Scholar 

  2. Lee, T.W., Girolami, M., Sejnowski, T.J.: Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources. Neural Comput. 11(2), 417 (1999)

    Article  Google Scholar 

  3. Yan, H., Hua, H.: Noise removal in electroencephalogram signal via independent component analysis approach based on the extended information maximization. Chin. J. Tissue Eng. Res. (09) (2013)

    Google Scholar 

  4. Luo, Z., Zhou, W.: A modification to the blind source separation and its application on SEMG*. Chin. J. Sens. Actuators 22(8) (2009)

    Google Scholar 

  5. Wu, X., Zhang, D.: The convergence property analysis of infomax algorithm. Comput. Eng. Appl. (7), 49–51, 59 (2003)

    Google Scholar 

  6. Guo, X., Wu, X., Zhang, D.: The application of Independent component analysis in the pattern extraction of mental EEG. Microcomput. Dev. (6), 36–39 (2002)

    Google Scholar 

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Correspondence to Zhaoyue Zhang .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhang, Z., Guo, H., Zhang, Y., Dong, J. (2019). 1090ES ADS-B Overlapped Signal Separation Research Based on Infomax Extension. In: Liu, S., Yang, G. (eds) Advanced Hybrid Information Processing. ADHIP 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-030-19086-6_11

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  • DOI: https://doi.org/10.1007/978-3-030-19086-6_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19085-9

  • Online ISBN: 978-3-030-19086-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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