  In this paper, we study the performance of blind adaptive beamforming
algorithms for smart antennas in realistic environments. A constrained constant
modulus (CCM) design criterion is described and used for deriving a recursive
least squares (RLS) type optimization algorithm. Furthermore, two kinds of
scenarios are considered in the paper for analyzing its performance.
Simulations are performed to compare the performance of the proposed method to
other well-known methods for blind adaptive beamforming. Results indicate that
the proposed method has a significant faster convergence rate, better
robustness to changeable environments and better tracking capability.
