Why blind source separation for blind equalization of multiple channels?

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.