This 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 existing methods. These include: (1) robustness in channel length mismatch; (2) reduction of noise effect I(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 o f BSS-based BE. Numerical experiments confirm the high performance of our proposed method.
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