Blind channel identification robust to order overestimation

The problem of blind system identification (BSI) of single-input multiple-output (SIMO) finite impulse response (FIR) channel is addressed. A plethora of methods and techniques have been so far proposed in the literature for BSI including the subspace method. A difficulty with the subspace based identification methods is their sensitivity to mis-specification of the channel order. We propose two identification algorithms robust to channel order overestimation. These block algorithms are based on the minimization of an observation fitting cost function. Numerical simulations and investigations are presented to demonstrate the potential of the proposed algorithms.