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Why blind source separation for blind equalization of multiple channels?

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2 Author(s)
Inseon Jang ; Dept. of Comput. Sci. & Eng., POSTECH, Seoul, South Korea ; Seungjin Choi

The paper addresses a blind source separation (BSS)-based method for blind equalization (BE) of single-input-multiple-output (SIMO) channels. We show here that a BSS-based BE method has some advantages over other methods. These include: (1) robustness in channel length mismatch; (2) reduction of noise effect (with a selected equalizer delay); (3) robustness for ill-conditioned channels. We illustrate that a minimum norm selection scheme achieves these advantages in the framework of BSS-based BE. Numerical experiments confirm the high performance of our proposed method.

Published in:

Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2002

Date of Conference:

4-6 Aug. 2002