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An Adaptive inverse Square-root Affine Projection Sign Algorithm based on QR-Decomposition
Author(s)
Date Issued
October 14, 2020
Type
Conference Paper
Abstract
In this paper, we present an adaptive averaging step-size inverse square-root affine projection sign algorithm. Based on the QR-decomposition method, we derive the modified inverse autocorrelation matrix in order to reduce the complexity of inverse matrix, which a criterion is based on the proposed algorithm with the sign error. Adaptive averaging step-size mechanism is used for the fast adaptation. Convergence analysis in form of a posteriori error is presented. Simulation results show that the proposed algorithm can obtain clearly the better performance compared with the conventional affine projection algorithm.
Citation
Proceedings of the 2020 International Conference on Power Energy and Innovations Icpei 2020, 161-164, 2020