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In this paper, two low-complexity adaptive step size algorithms areinvestigated for blind adaptive beamforming. Both of them are used in astochastic gradient (SG) algorithm, which employs the constrained constantmodulus (CCM) criterion as the design approach. A brief analysis is given forillustrating their properties. Simulations are performed to compare theperformances of the novel algorithms with other well-known methods. Resultsindicate that the proposed algorithms achieve superior performance, betterconvergence behavior and lower computational complexity in both stationary andnon-stationary environments.

Low-Complexity Constrained Constant Modulus SG-based Beamforming Algorithms with Variable Step Size