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Performance Analysis of Shrinkage Linear Complex-Valued LMS Algorithm
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DOI：10.1109/LSP.2019.2925957.png)
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Abstract
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The shrinkage linear complex-valued least mean squares (SL-CLMS) algorithm with a variable step size overcomes the conflicting issue between fast convergence and low steady-state misalignment. To the best of our knowledge, the theoretical performance analysis of the SL-CLMS algorithm has not been presented yet. This letter focuses on the theoretical analysis of the excess mean square error transient and steady-state performance of the SL-CLMS algorithm. Simulation results obtained for identification scenarios show a good match with the analytical results.
Keywords:
EMSE
Kronecker product
Rayleigh distribution
shrinkage
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