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• W2289654400 abstract "In this brief, reference signal-based adaptive beamforming for vector sensor arrays consisting of crossed dipoles is studied. In particular, we focus on how to reduce the number of sensors involved in the adaptation so that reduced system complexity and energy consumption can be achieved while an acceptable performance can still be maintained, which is especially useful for large array systems. As a solution, a reweighted zero-attracting quaternion-valued least-mean-square algorithm is proposed. Simulation results show that the algorithm can work effectively for beamforming while enforcing a sparse solution for the weight vector where the corresponding sensors with zero-valued coefficients can be removed from the system." @default.
• W2289654400 created "2016-06-24" @default.
• W2289654400 creator A5062908102 @default.
• W2289654400 creator A5064842058 @default.
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• W2289654400 date "2016-03-01" @default.
• W2289654400 modified "2023-10-13" @default.
• W2289654400 title "Adaptive Beamforming for Vector-Sensor Arrays Based on a Reweighted Zero-Attracting Quaternion-Valued LMS Algorithm" @default.
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• W2289654400 doi "https://doi.org/10.1109/tcsii.2015.2482464" @default.
• W2289654400 hasPublicationYear "2016" @default.
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