ROBUSTNESS OF BLIND SUBSPACE BASED TECHNIQUES USINGp QUASI-NORMS

It has been very recently noted that it is possible to recover the blind channel estimate in case of channel order overmodeling by usingp quasi norms. But, to the best of our knowledge, there is, until now, no theoretical results that investigate this issue. In this paper, we propose to study the robustness of subspace blind methods usingp quasi-norms in the noiseless case and for nonsparse channels. More particularly, we provide conditions that ensures channel identifiabil- ity and study their frequency of occurence with respect to the system parameters.