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Particle filtering to combat inter-carrier interference in mobile communications

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Abstract

This paper deals with the effect of the Doppler spread in a mobile communication system. The Doppler effect in a moving mobile is computed by predicting the mobile velocity via particle filtering, an instance of Sequential Monte Carlo (SMC) filtering. By calculating the Doppler spread in the receiver and adjusting the transmitter in the appropriate frequency, the performance of communication systems, such as Orthogonal frequency division multiplexing (OFDM) which suffer from loss of orthogonality due to frequency offset, can be improved. Moreover, it is shown that, via performance comparison of OFDM between the compensated and un-compensated for Doppler shift cases, a substantial improvement (O(10−1)) can be achieved in terms of Bit-Error-Rate (BER) for expectedly large values of Signal to Noise Ratio (SNR)

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References

  1. Bergman, N. (1999). Recursive Bayesian estimation: Navigation and tracking applications. Ph.D. dissertation, Linkoping University, Linkoping, Sweden.

  2. Doucet, A., de Freitas, J. F. G., Gordon, N. J. (Eds). Sequential Monte Carlo methods in practise. New York: Springer

  3. Doucet A., Godsill S., Andrieu C. (2000). On sequential simulation-based methods for Bayesian filtering. Statistics and Computing 10: 197–208

    Article  Google Scholar 

  4. Fearnead, P. (1998). Sequential Monte Carlo methods in filter theory. Ph.D. Thesis, University of Oxford, Oxford, UK.

  5. Gordon N., Salmond D., Smith A.F.M. (1993). Novel approach to nonlinear and non-Gaussian Bayesian state estimation. Proceedings Institute Electronic Engineering F 140: 107–113

    Google Scholar 

  6. Gordon N., Salmond D., Ewing C. (1995). Bayesian state estimation for tracking and guidance using the bootstrap filter. Journal of Guidance, Control and Dynamics 18: 1434–1443

    Article  Google Scholar 

  7. Jakes W.C. (1974). Microwave mobile communications. USA, Wiley

    Google Scholar 

  8. Robertson, P., & Kaiser, S. (1999). Doppler spread analysis and simulation for multi-carrier mobile radio and broadcast systems. In Proceedings second international workshop on multi carrier spread spectrum and related topics (MC-SS’99).Germany: Oberpfaffenhofen.

  9. Robertson, P., & Kaiser, S. (1999). Effects of Doppler spreads in OFDM (A) mobile radio systems (pp. 329–333). Amsterdam, Holland: VTC Fall 99.

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Authors and Affiliations

  1. Department of Communication Sciences, School of Applied Sciences and Technology, University of Peloponnese, 22100, Tripolis, Greece

    Alex Palamides & Andreas Maras

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  1. Alex Palamides
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  2. Andreas Maras
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Correspondence to Alex Palamides.

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Palamides, A., Maras, A. Particle filtering to combat inter-carrier interference in mobile communications. Wireless Pers Commun 43, 645–654 (2007). https://doi.org/10.1007/s11277-007-9269-0

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  • DOI: https://doi.org/10.1007/s11277-007-9269-0

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