A Robust Subspace Method for Blind Identification
LIU Yang
Abstract：Due to the performance degradation of deterministic blind channel identification algorithms under the overestimation of channel order, a FOCUSS-based subspace method is proposed for blind channel identification, which is robust to channel order overestimation.Based on the sparsity of the desirable channel estimation to order overestimation, a weighted constraint is used to search the sparse solution, combining with the FOCUSS algorithm, and then augmented Lagrange function is applied to improve the robustness of the FOCUSS algorithm.The simulation results show proposed algorithm owns better robustness to order overestimation than existing algorithms.
Keywords：subspace methodFOCUSS algorithmaugmented Lagrange functionrobustness to order overestimation
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 25-29,57 )