Two-normalized least mean square using in adaptive array beamforming in medical imaging

In this article new Beamforming technique is suggested for array antenna. This technique controls electrically the beam-pattern which reduced the noise, position of the pattern, and signal superposition. The proposed two-NLMS algorithm is utilized to decline the unwelcome interference. The first NLMS has a large step size and the other one small. The combinations of two outputs are related with a mixing parameter. This algorithm can control the suitable initial convergence and a minor steady state error adaptation. The weights are adjusted that the ending weight vector to the most contented result. This beamformer is compared with LMS, NLMS methods, it is achieved that the two-NLMS algorithm is better performance to other methods and the experimental results are confirmed by simulations.