TY - JOUR
T1 - Adaptive beamformer based on the augmented complex least mean square algorithm
AU - Orozco-Tupacyupanqui, Walter
AU - Perez-Meana, Hector
AU - Nakano-Miyatake, Mariko
PY - 2016/9/1
Y1 - 2016/9/1
N2 - © 2016 Informa UK Limited, trading as Taylor & Francis Group. In this article, an adaptive beamforming system based on the augmented complex least mean square algorithm is analysed. In this approach, the adaptive filter is used as a widely linear system. The second-order statistical information of the signals involved in the array is exploited. Under this consideration, the ability of the adaptive array to minimize the effects of interferences and complex white noise could be enhanced. The equations for the optimal weights and the array factor are derived for the proposed beamforming system. Computer simulations have been performed to evaluate the performance of the adaptive array, and the results were compared with two of the most common standard adaptive beamforming algorithms: the least mean square and recursive least square. The numerical simulations show that the proposed adaptive array has a better performance in time and spatial domain as compared to the classical beamforming systems.
AB - © 2016 Informa UK Limited, trading as Taylor & Francis Group. In this article, an adaptive beamforming system based on the augmented complex least mean square algorithm is analysed. In this approach, the adaptive filter is used as a widely linear system. The second-order statistical information of the signals involved in the array is exploited. Under this consideration, the ability of the adaptive array to minimize the effects of interferences and complex white noise could be enhanced. The equations for the optimal weights and the array factor are derived for the proposed beamforming system. Computer simulations have been performed to evaluate the performance of the adaptive array, and the results were compared with two of the most common standard adaptive beamforming algorithms: the least mean square and recursive least square. The numerical simulations show that the proposed adaptive array has a better performance in time and spatial domain as compared to the classical beamforming systems.
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U2 - 10.1080/09205071.2015.1133328
DO - 10.1080/09205071.2015.1133328
M3 - Article
SN - 0920-5071
SP - 1712
EP - 1730
JO - Journal of Electromagnetic Waves and Applications
JF - Journal of Electromagnetic Waves and Applications
ER -