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Variable step-size distributed incremental normalised LMS algorithm

Variable step-size distributed incremental normalised LMS algorithm

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A variable step-size distributed incremental normalised least mean square (DINLMS) algorithm is proposed, in which the time-varying step-size of each node in the distributed network is obtained by minimising a posterior estimation error at that node. It overcomes the drawback that fast convergence rate with high steady-state misalignment or low steady-state misalignment with slow convergence rate, which always exists in the traditional DINLMS. The simulation results show that the proposed algorithm could achieve a better performance.

References

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        3. Yu, Y., Zhao, H.: ‘A new normalized subband adaptive filter algorithm with individual variable step size’, Circuits Syst. Signal Process, 2015, doi: 10.1007/s00034-015-0112-7.
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