Blind decoding of MISO-OSTBC systems based on principal component analysis
J. Vía, I. Santamaría, J. Pérez, D. Ramírez, in: Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process., Toulouse, France, 2006.
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Vía, J.;
Santamaría, I.;
Pérez, J.;
Ramírez, D.
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Abstract
In this paper, a new second-order statistics (SOS) based method for blind decoding of orthogonal space time block coded (OSTBC) systems with only one receive antenna is proposed. To avoid the in- herent ambiguities of this problem, the spatial correlation matrix of the source signals must be non-white and known at the receiver. In practice, this can be achieved by a number of simple linear preco- ding techniques at the transmitter side. More specifically, it is shown in the paper that if the source correlation matrix has different eigen- values, then the decoding process can be formulated as the problem of maximizing the sum of a set of weighted variances of the signal estimates. Exploiting the special structure of OSTBCs, this problem can be reduced to a principal component analysis (PCA) problem, which allows us to derive computationally efficient batch and adap- tive blind decoding algorithms. The algorithm works for any OSTBC (including the popular Alamouti code) with a single receive antenna. Some simulation results are presented to demonstrate the potential of the proposed procedure.
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Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process.
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Vía J, Santamaría I, Pérez J, Ramírez D. Blind decoding of MISO-OSTBC systems based on principal component analysis. In: Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process. ; 2006. doi:10.1109/ICASSP.2006.1661026
Vía, J., Santamaría, I., Pérez, J., & Ramírez, D. (2006). Blind decoding of MISO-OSTBC systems based on principal component analysis. Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process. https://doi.org/10.1109/ICASSP.2006.1661026
@inproceedings{Vía_Santamaría_Pérez_Ramírez_2006, place={Toulouse, France}, title={Blind decoding of MISO-OSTBC systems based on principal component analysis}, DOI={10.1109/ICASSP.2006.1661026}, booktitle={Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process.}, author={Vía, J. and Santamaría, I. and Pérez, J. and Ramírez, D.}, year={2006} }
Vía, J., I. Santamaría, J. Pérez, and D. Ramírez. “Blind Decoding of MISO-OSTBC Systems Based on Principal Component Analysis.” In Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process. Toulouse, France, 2006. https://doi.org/10.1109/ICASSP.2006.1661026.
J. Vía, I. Santamaría, J. Pérez, and D. Ramírez, “Blind decoding of MISO-OSTBC systems based on principal component analysis,” 2006, doi: 10.1109/ICASSP.2006.1661026.
Vía, J., et al. “Blind Decoding of MISO-OSTBC Systems Based on Principal Component Analysis.” Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process., 2006, doi:10.1109/ICASSP.2006.1661026.
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