Blind system identification using minimum noise subspace

Developing fast and robust methods for identifying multiple FIR channels driven by an unknown common source is important for wireless communications. In this letter, we present a new method that exploits a minimum noise subspace (MNS). The MNS is computed from a set of channel output pairs which form a "tree". The "tree" exploits with minimum redundancy the diversity among all channels. The MNS method is much more efficient in computation and only slightly less robust to channel noise than the subspace method by Moulines et al. (1995).