Blind channel estimation by constrained optimization

A new blind channel estimation approach is proposed to exploit simultaneously the constant modulus property of the communication signal and the subspace constraints of the channel. Derived from constrained optimization, the proposed algorithm shows a considerable improvement in performance when compared with approaches using only the second-order statistics.