Adaptive beamformer based on the augmented complex least mean square algorithm

摘要: AbstractIn this article, an adaptive beamforming system based on the augmented complex least mean square algorithm is analysed. In approach, filter used as a widely linear system. The second-order statistical information of signals involved in array exploited. Under consideration, ability to minimize effects interferences and white noise could be enhanced. equations for optimal weights factor are derived proposed Computer simulations have been performed evaluate performance array, results were compared with two most common standard algorithms: recursive square. numerical show that has better time spatial domain classical systems.