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A New Variable Step-Size Affine Projection Sign Algorithm Based on A Posteriori Estimation Error Analysis

机译:基于后验估计误差分析的新型变步长仿射投影符号算法

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In order to accelerate the convergence rate and reduce the steady-state misalignment of the affine projection sign algorithm (APSA), a novel variable step-size APSA based on a posteriori estimation error (APEE) analysis is proposed. The new algorithm modified the iterative process of the APSA in which only sign information of the output error is used. The variable step size is obtained by minimizing the -norm of the APEE. And the step size has a large value in the initial stage and a small value in the steady state, which can better reflect the working state of the robust adaptive filter than the APSA with fixed step sizes. Therefore, the proposed algorithm achieves a faster convergence and a lower steady-state misalignment than the APSA and its variable step-size versions. The simulation results provided in the paper confirm that the proposed algorithm retains both the advantages of the APSA with large and small step sizes without significantly increase the computational complexity.
机译:为了加快仿射投影符号算法(APSA)的收敛速度并减少稳态失准,提出了一种基于后验估计误差(APEE)分析的新型可变步长APSA。新算法修改了仅使用输出错误的符号信息的APSA的迭代过程。通过最小化APEE的-norm来获得可变步长。并且步长在初始阶段具有较大的值,而在稳态时则较小,与具有固定步长的APSA相比,它可以更好地反映鲁棒自适应滤波器的工作状态。因此,与APSA及其可变步长版本相比,该算法实现了更快的收敛速度和更低的稳态失准。本文提供的仿真结果证实,所提出的算法在不显着增加计算复杂度的情况下,保留了步长大小较小的APSA的优点。

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