Proc. IEEE Asilomar
Conference on Signal, Systems and Computers,
November 4-7, 2007,
Pacific Grove, California.
Blind Source Separation with a Time-Varying Mixing Matrix
Marcus R. DeYoung and
Brian L. Evans
Department of Electrical
and Computer Engineering,
Engineering Science Building,
The University of Texas at Austin,
Austin, TX 78712 USA
Blind source separation (BSS) is the process of using multiple
sensors to separate multiple random signals from a received linear
combination. In this paper, we apply blind source separation
techniques to mixtures of digital communications signals. We
predict the achievable symbol error rate when the signals are
received on the same carrier frequency and blindly separated. In a
wireless environment where the sources are mobile or the environment
is changing, the mixing matrix will vary with time. Our primary
contribution is that we identify the major source of error in
separation. We extend an adaptive step size algorithm to the
complex-valued case to mitigate the errors in a dynamic environment.
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Last Updated 11/26/07.