Haiquan ZHAO, Lei LI. A Logarithmic Total Least Squares Adaptive Filtering Algorithm for Impulsive Noise Suppression[J]. Journal of Electronics & Information Technology, 2021, 43(2): 284-288. doi: 10.11999/JEIT200344
Citation:
Zhao Yong-bo, Zhang Shou-hong . Eigenspace-Based Linearly Constrained Minimum Variance Beamformer[J]. Journal of Electronics & Information Technology, 2005, 27(3): 423-426.
Haiquan ZHAO, Lei LI. A Logarithmic Total Least Squares Adaptive Filtering Algorithm for Impulsive Noise Suppression[J]. Journal of Electronics & Information Technology, 2021, 43(2): 284-288. doi: 10.11999/JEIT200344
Citation:
Zhao Yong-bo, Zhang Shou-hong . Eigenspace-Based Linearly Constrained Minimum Variance Beamformer[J]. Journal of Electronics & Information Technology, 2005, 27(3): 423-426.
By combining the Linearly Constrained Minimum Variance Beamformer(LCMVB) with the eigenspace-based beam former, this pnper presents the Eigenspace-based Linearly Constrained Minimum Variance Beamformer{ELCMVB). The ELCMVB first projects the presumed steering vector of the LCMVB onto the signal subspace, then gets the weight vector by using the LCMV and the projected steering vector. The theoretical analysis indicates that the ELCMVB outperforms the Generalized Eigenspace-based Beamlbrmer(GEIB).Compared to the GEIB, the ELCMVB removes the computation of the modified signal subspace and overcomes the numerical instability. Null constraints hardly affect the performance of the ELCMVB. Computer simulation results are also presented and demonstrate the merits of the ELCMVB.
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Haiquan ZHAO, Lei LI. A Logarithmic Total Least Squares Adaptive Filtering Algorithm for Impulsive Noise Suppression[J]. Journal of Electronics & Information Technology, 2021, 43(2): 284-288. doi: 10.11999/JEIT200344
Haiquan ZHAO, Lei LI. A Logarithmic Total Least Squares Adaptive Filtering Algorithm for Impulsive Noise Suppression[J]. Journal of Electronics & Information Technology, 2021, 43(2): 284-288. doi: 10.11999/JEIT200344
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