Blind beamforming in a cyclostationary context using an optimally weighted quadratic cost function

This paper addresses the problem of blind beamforming in a cyclostationary context. We show the equivalence between the SCORE algorithm derived by Gardner et al., and the minimization of an optimally weighted quadratic cost function. This approach allows us to justify, from a statistical point of view, the relevance of the SCORE algorithm.