An adaptive beamforming method based on properties of cyclostationary signals

Blind beamforming, which consists of recovering signals only from observed instantaneous linear mixtures without a priori information about array manifold, is an important problem in many practical applications including radar, sonar, wireless communication and so on. For blind separation of cyclostationary signals encountered usually in communication, recently, reference [1] proposed a novel approach (ATH3) under the assumption that the cyclic correlation functions of signals are all real number. In this paper, we relaxed this assumption to signals with complex cyclic correlation functions, which is usually this case in practice, and proposed a method to accomplish blind adaptive beamforming. Several numerical simulations also are provided to illustrate the effectiveness of the proposed method.