Beamforming in Tight Specifications Environment using Generalized Minimum Mean Error (GMME) Algorithm

Frequency spectrum is considered to be scarce and valuable resource. Techniques, which help in its utilization, are welcome. Among these techniques is the beamforming in which a set of weight vector is obtained for optimum error solution. Many algorithms are used in the optimization process. The least mean square error is often used because of its simplicity and reasonable performance. In tight specifications environments (low SINR, close angular separation between the desired signal and the interference) the authors noticed degradation in the LMS performance. Therefore, a higher order error function is proposed in this paper, a technique named generalized minimum mean error (GMME). Simulation tests showed that increasing the order of the error function leads to better performance with no significant increase in the computational costs.