Adaptive antenna array beamforming using variable-step-size normalized least mean square

Abstract

In this article novel Beamforming method is proposed for array antenna to control electrically and with software the beam pattern, reducing the noise, Orientation the pattern, signal superposition, Antenna array element selection and from hardware side in array antenna useful for power management. The proposed VSS-NLMS algorithm is used to weaken the undesirable interference. This algorithm utilizes continuous adaptation. The weights are attuned that the final weight vector to the most satisfied result. The gradient vector can be achieved by iterative beamforming algorithm from the available data. This algorithm is compared with LMS, NTMS, VSS-NLMS algorithms, it is determined that the VSS-NTMS algorithm is better performance to other algorithms. The proposed algorithm provides better convergence features than the LMS, NTMS, VSS-NTMS algorithms, because it can reduce the growth of the noise by dividing the step size parameter by input vector power. So finally, we can say that the VSS-NLMS is more useful for mobile communication system.