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The combination of adaptive beamforming (ABF) with space-time block coding (STBC) has been widely studied in wireless communications. However, all of the existing schemes ignore the effect of mutual coupling (MC) between array elements. In this paper, an adaptive space-time transmit scheme is firstly introduced using the maximization of the output mean SNR and the minimization of the symbol error...
In this paper, we describe a fully automatic method using latent root regression based on the generalized sidelobe canceler (GSC) parameterization of the minimum variance beamformer. The proposed method gives a theoretically optimal solution in mean-squared error (MSE) sense (minimized MSE solution) by choosing a linear combination of individual latent root regression predictors in the GSC formulation...
The goal of this letter is to derive robust adaptive beamformers via generalized loading. In the proposed methods, Hermitian matrices are loaded on sample covariance matrix, and this is different from those methods based on the well-known diagonal loading approach. Furthermore, the computation of the loaded matrix is fully automatic, which is scarce in the literature. Numerical examples show that...
The goal of this paper is to present an iterative robust adaptive beamformer using partial least squares (PLS) based on the generalized sidelobe canceller (GSC) parameterization of the minimum variance (MV) beamformer. The proposed method can be implemented simply as an iterative process and does not require the choice of a user parameter. The shrinkage properties and the relations among ridge regression...
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