Fast adaptive blind beamforming technique for cyclostationary signals
Yuxin Chen, Zhenya He, S. Thomas Ng, Paul C. K. Kwok · 2003
Castedo et al. (1995) have present a blind beamforming criterion based on the property of cyclostationary signals. A stochastic gradient-based algorithm, which needs to choose the step size suitably, was derived to compute the optimum weight vector. In this paper a fast adaptive algorithm is proposed. We show that the recursive least square techniques can be applied to solve this problem successfully by making an appropriate approximation. Simulation results demonstrate the effect of the theoretic analysis.