Method for the single-channel blind separation based on particle filtering

Fìz.-mat. model. ìnf. tehnol. 2021, 32:22-26

Authors

  • Vasyl Semenov Kyiv Academic University, 36 Acad. Vernads’kogo blv. 03142, Kyiv
  • Evgeniya Semenova Kyiv Academic University, 36 Acad. Vernads’kogo blv. 03142, Kyiv., Institute of Mathematics of NASU, 3 Tereschenkivska st., Kyiv, 01024

DOI:

https://doi.org/10.15407/fmmit2021.32.041

Keywords:

Blind separation, particle filtering, Bayesian estimation

Abstract

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
  1. 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
  2. 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
  3. 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
  4. Semenov, V., Kruhlyk, O. (2019). Efficient method of M-PSK demodulation based on particle filtering. Mathematical and computer modelling, 19(1), 137-143.
  5. 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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Published

2021-07-01

How to Cite

Semenov, V., & Semenova, E. (2021). Method for the single-channel blind separation based on particle filtering: Fìz.-mat. model. ìnf. tehnol. 2021, 32:22-26. PHYSICO-MATHEMATICAL MODELLING AND INFORMATIONAL TECHNOLOGIES, (32), 22–26. https://doi.org/10.15407/fmmit2021.32.041