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Demodulation with a Multichannel Estimation Method Using a Reduced Rank Constraint

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Abstract

This paper deals with the Maximum Likelihood Estimation of the multichannel impulse response in a mobile communication system whose base stations are equipped with antennas arrays. The following problem is solved: using the training sequence, find the maximum likelihood multichannel impulse response from one mobile to the base station under a reduced rank constraint in the presence of gaussian noise and jammers with unknown covariance matrix. This method finds applications in demodulation (the reduced rank channel estimate can be used in a Viterbi Algorithm), and experimental results using real signals demonstrate its high performance compared with the standard Minimum Mean Square Error (MMSE) multichannel estimate.

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References

  1. Forster, P. and Asté, T., “Maximum likelihood multichannel estimation under reduced rank constraint.” ICASSP'98, Seattle, 6, pp. 3317–3320, 1998.

    Google Scholar 

  2. Atallah, L. N. and Marcos, S., “Time delay and direction of arrival estimation of multiple users in slow fading channels.” ICASSP 2002, 3, pp. 2865–2868, May 2002.

    Google Scholar 

  3. Viberg, M. and Stoica, P., “Maximum likelihood parameter and rank estimation in reduced-rank multivariate linear regressions.” IEEE Transactions on Signal Processing 44(12), pp. 3069–3078, December 1996.

    Google Scholar 

  4. Viberg, M., Stoica, P. and Ottersten, B., “Maximum likelihood array processing in spatially correlated noise fields using parameterized signals.” IEEE Trans. Signal Processing 45(4), pp. 996–1004, 1997.

    Google Scholar 

  5. Maiwald, D. and Kraus, D., “On moments of complex wishart and complex inverse wishart distributed matrix.” ICASSP'97, Munich, Germany, pp. 3817–3820.

  6. Vila, P., Pipon, F., Pirez, D. and Fety, L., “MMSEantenna diversity equalization of a jammed frequency-selective fading channel.” EUSIPCO'94, pp. 1516–1519, September 1994.

  7. Monot, J.-J., Thibault, J., Chevalier, P., Pipon, F., Mayrargue, S. and Levy, A., “Afully programmable prototype for the experimentation of the SDMA concept and use of smart antennas for UMTS and GSM/DCS1800 networks.” PIMRC'97, Helsinki, Finland, 2, pp. 534–538, September 1997.

    Google Scholar 

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Authors and Affiliations

  1. 64, Bd. J.-J. Rousseau, 72100, Le Mans, France

    H. Kassem & P. Forster

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  1. H. Kassem
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  2. P. Forster
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Kassem, H., Forster, P. Demodulation with a Multichannel Estimation Method Using a Reduced Rank Constraint. Analog Integrated Circuits and Signal Processing 34, 155–162 (2003). https://doi.org/10.1023/A:1021941203890

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  • DOI: https://doi.org/10.1023/A:1021941203890

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