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Complex Fixed-Point ICA Algorithm for Separation of QAM Sources using Gaussian Mixture Model

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2 Author(s)
Novey, M. ; Maryland Univ., Baltimore, MD, USA ; Adali, T.

We introduce a fixed-point algorithm, the complex QAM (C-QAM) algorithm, for separation of quadrature amplitude modulated (QAM) sources through independent component analysis. The algorithm matches the input QAM distribution through a mixture of Gaussian kernels and uses fixed-point updates that fully take advantage of complex domain processing. We demonstrate the performance of the C-QAM algorithm through simulations and note that it provides improved performance over a wide range of operating conditions such as low signal-to-noise ratio, small sample sizes, and large number of sources.

Published in:

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on  (Volume:2 )

Date of Conference:

15-20 April 2007

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