Метод одноканального сліпого розділення на основі particle-фільтрації: Fìz.-mat. model. ìnf. tehnol. 2021, 32:22-26
A method for single-channel blind separation of two digital signals is proposed. The method is based on particle filtering and state space model of the mixture of two signals. The effectiveness of method is verified and the advantage over the iterative Bayesian separation method is shown. References...
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| Datum: | 2021 |
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| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | Englisch |
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Інститут прикладних проблем механіки і математики ім. Я. С. Підстригача НАН України
2021
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| Online Zugang: | https://www.fmmit.lviv.ua/index.php/fmmit/article/view/153 |
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| Назва журналу: | Physico-mathematical modeling and informational technologies |
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Physico-mathematical modeling and informational technologies| Zusammenfassung: | A method for single-channel blind separation of two digital signals is proposed. The method is based on particle filtering and state space model of the mixture of two signals. The effectiveness of method is verified and the advantage over the iterative Bayesian separation method is shown.
References
Agne, C., Cornell, B., Dale, M., Keams, R., Lee, F. (2010). Shared-spectrum bandwidth efficient satellite communications. Proc. IEEE MILCOM, 341-346. DOI doi.org/10.1109/milcom.2010.5680379
Arulampalam, M. S., Maskell, S., Gordon, N., Clapp, T. (2002). Particle-filtering-based approach to undetermined blind separation. IEEE transactions on signal processing, 50, 174-188. DOI doi.org/10.1109/78.978374
Gouldieff, V., Palicot, J. (2015). MISO Estimation of Asynchronously Mixed BPSK Sources. Proc. IEEE Conf. EUSIPCO, 369-373. DOI doi.org/10.1109/eusipco.2015.7362407
Semenov, V., Kruhlyk, O. (2019). Efficient method of M-PSK demodulation based on particle filtering. Mathematical and computer modelling, 19(1), 137-143.
Hua, Zh., Youguang, Zh., Guoyan, Li. (2012). Particle-filtering-based approach to undetermined blind separation. Advances in information sciences and service sciences, 4(6), 305-313.
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| DOI: | 10.15407/fmmit2021.32.041 |