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Proceedings Paper

Blind equalization and source separation with MSK inputs
Author(s): Olivier Grellier; Pierre Comon
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Paper Abstract

Channel equalization and identification appear as key issues in improving wireless communications. It is known that the linearization of the GMSK modulation leads to a continuous phase OQPSK which can be considered as a Minimum SHift Keying (MSK) modulation. Thus methods of equalization and identification when the channel is input by MSK modulated signals is worth to look at. Most algorithms consider MSK signals as two independent white binary PAM staggered signals; this is not the case in our approach. Here, MSK signals are seen, after sampling at baud rate, as colored complex discrete signals. Even if this view of MSK modulation is quite simple, it has never been utilized with purpose of blind equalization. The particular statistics of such signals are studied, yielding an original closed-form analytical solution to blind equalization, both in the monovariate case and in the source separation problem. Simulations show a good behavior of the algorithms in terms of bit error rate as a function of SNR, both in the case of blind equalization and source separation.

Paper Details

Date Published: 2 October 1998
PDF: 9 pages
Proc. SPIE 3461, Advanced Signal Processing Algorithms, Architectures, and Implementations VIII, (2 October 1998); doi: 10.1117/12.325690
Show Author Affiliations
Olivier Grellier, Lab. Informatique, Signaux et Systemes/Univ. Nice--Sophia Antipolis (France)
Pierre Comon, Eurecom Institute and Lab. Informatique, Signuax et Systemes/Univ. Nice--Sophia Antipolis (France)


Published in SPIE Proceedings Vol. 3461:
Advanced Signal Processing Algorithms, Architectures, and Implementations VIII
Franklin T. Luk, Editor(s)

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